{"meta":{"query_hash":"98f66671546e","filters":{"venue":"Computer supported cooperative work"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/98f66671546e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Computer+supported+cooperative+work"},"results":[{"id":"W1524976776","doi":"10.1007/978-1-4471-0035-5_11","title":"Web Places: Using Intermediaries to Add People to the Web","year":2003,"lang":"en","type":"book-chapter","venue":"Computer supported cooperative work","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Web application; World Wide Web; Computer science","score_opus":0.030969851431081698,"score_gpt":0.2751549032299313,"score_spread":0.2441850517988496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524976776","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044044837,0.0027101885,0.5874673,0.0029460147,0.0010970252,0.0003024407,0.0008390258,0.024069645,0.33652347],"genre_scores_gemma":[0.34929693,0.0045139887,0.32754287,0.00087403954,0.00055068155,0.0006044121,0.0021106137,0.0046156948,0.30989078],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994641,0.00018272978,0.000030703864,0.000069474234,0.00018266775,0.00007035146],"domain_scores_gemma":[0.998871,0.0005029723,0.00005065904,0.0003512717,0.00008123249,0.00014291253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009811808,0.00065373426,0.00039234146,0.0015462502,0.0013045333,0.006574958,0.0019355264,0.0017757787,0.02678637],"category_scores_gemma":[0.002033043,0.00063361495,0.0005051897,0.0026384324,0.0014111021,0.012936951,0.0057311407,0.0020595617,0.010157056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034577554,0.00044333507,0.0014904652,0.00053579226,0.00005186027,0.00056605437,0.009474959,0.0019781531,0.00788491,0.21599686,0.07995347,0.68127847],"study_design_scores_gemma":[0.00018260165,0.00019847912,0.0017067834,0.00040219154,0.0001325833,0.00096104544,0.005000366,0.022012599,0.017355882,0.1968649,0.75506026,0.0001223402],"about_ca_topic_score_codex":0.0013783973,"about_ca_topic_score_gemma":0.0024221083,"teacher_disagreement_score":0.02678637,"about_ca_system_score_codex":0.00045343937,"about_ca_system_score_gemma":0.0007526209,"threshold_uncertainty_score":0.089609265},"labels":[],"label_agreement":null},{"id":"W1547755344","doi":"10.1007/978-1-84882-483-6_27","title":"Reflecting on Several Metaphors of MUD-Based Media Spaces","year":2009,"lang":"en","type":"book-chapter","venue":"Computer supported cooperative work","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Metaphor; Space (punctuation); Computer science; Multimedia; World Wide Web; Sociology; Media studies; Linguistics","score_opus":0.0561342148452893,"score_gpt":0.306380621527774,"score_spread":0.2502464066824847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547755344","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024737073,0.0073006335,0.1387397,0.014604951,0.0010510982,0.000090582376,0.00012964306,0.00032485373,0.8130214],"genre_scores_gemma":[0.7531028,0.0056422646,0.07280339,0.0027646504,0.00049246673,0.00029429255,0.0001083029,0.00044010713,0.16435173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993082,0.00043411274,0.000013025599,0.000058094,0.000107614105,0.00007895488],"domain_scores_gemma":[0.9992275,0.0005070956,0.000033053686,0.00007087772,0.00007820096,0.00008324242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008697109,0.0009662957,0.00028981362,0.001678022,0.004148418,0.009220807,0.0014623522,0.0023136002,0.007908246],"category_scores_gemma":[0.0020657287,0.0003404694,0.0004448432,0.0018538806,0.014461758,0.011624264,0.0032212466,0.004197406,0.0011943927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009993288,0.000006451438,0.00004176421,0.00003698118,0.0000016099657,0.00011047756,0.0146960495,0.00013987879,0.00028966344,0.9775775,0.0031266757,0.003962923],"study_design_scores_gemma":[0.000019559775,0.000037382437,0.00027097782,0.0002696592,0.000013665943,0.0010629962,0.036435895,0.0024042465,0.0014073726,0.56819826,0.38984248,0.00003744431],"about_ca_topic_score_codex":0.0028164284,"about_ca_topic_score_gemma":0.0053991643,"teacher_disagreement_score":0.009220807,"about_ca_system_score_codex":0.0017420697,"about_ca_system_score_gemma":0.00079670106,"threshold_uncertainty_score":0.02645576},"labels":[],"label_agreement":null}]}