{"id":"W2110180658","doi":"10.1002/meet.2011.14504801205","title":"Shaking it up: Embracing new methods for publishing, finding, discussing, and measuring our research output","year":2011,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Publication; Session (web analytics); Field (mathematics); Computer science; Action (physics); Publishing; Data science; Public relations; Engineering ethics; World Wide Web; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4819152,0.002090611,0.002514424,0.01933827,0.01042958,0.05563991,0.007165926,0.007521166,0.01363141],"category_scores_gemma":[0.5610082,0.002600432,0.002564992,0.01572233,0.02358632,0.06104839,0.03184293,0.01215209,0.005859894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01111557,"about_ca_system_score_gemma":0.01584834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002554042,"about_ca_topic_score_gemma":0.002944882,"domain_scores_codex":[0.350236,0.5458346,0.02231303,0.01351408,0.06413452,0.003967784],"domain_scores_gemma":[0.1986906,0.6169702,0.03623382,0.07033318,0.0704472,0.007324997],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000457706,0.0003926163,0.01230026,0.005083918,0.000572052,0.000248651,0.1633487,0.001277919,0.003564324,0.1577547,0.06018713,0.594812],"study_design_scores_gemma":[0.0003458723,0.0009857195,0.01471937,0.01051941,0.0005933025,0.0007696517,0.09630459,0.01012817,0.007189747,0.3086823,0.5481641,0.001597781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03535174,0.008620088,0.7212417,0.1281381,0.01010012,0.006225816,0.001411389,0.003617453,0.08529343],"genre_scores_gemma":[0.2198289,0.005200863,0.7232593,0.01496307,0.004505021,0.01526651,0.0006635521,0.001832205,0.01448055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9443601,"threshold_uncertainty_score":0.6388907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3120932451150088,"score_gpt":0.464618573518531,"score_spread":0.1525253284035222,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}