{"id":"W2182833683","doi":"10.11575/prism/30809","title":"VisSTREAM: VISUALIZING TEMPORAL MULTIMEDIA CONVERSATIONS","year":2002,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Impromptu; Casual; Computer-supported cooperative work; Computer science; Multimedia; World Wide Web; Context (archaeology); Collaborative software; Interpersonal communication; Human–computer interaction; Work (physics); Communication; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003866754,0.00008376859,0.0001651863,0.0003463463,0.0002035749,0.00004744361,0.0005024255,0.00005740887,0.00590041],"category_scores_gemma":[0.0001006873,0.00008820363,0.0001224529,0.0003807474,0.0001344339,0.0008962587,0.0001381492,0.00008357156,0.001314626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002808108,"about_ca_system_score_gemma":0.00001271964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002784764,"about_ca_topic_score_gemma":0.00001269997,"domain_scores_codex":[0.9986884,0.00005280933,0.0002139675,0.0001806934,0.0007183879,0.0001457327],"domain_scores_gemma":[0.9991459,0.0001482799,0.0002127383,0.0002519863,0.0001326155,0.0001084934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003768518,0.0002358241,0.06984346,0.00001196677,0.00005333717,0.00004636087,0.01552279,0.000003277308,0.0002864809,0.00322328,0.1701674,0.7405682],"study_design_scores_gemma":[0.00134711,0.00006748947,0.1202862,0.00001435227,0.00006209318,0.000002162262,0.003522436,0.5846804,0.00007277139,0.0006185538,0.2890461,0.0002802311],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7129282,0.00008104381,0.2061379,0.002449938,0.0002841705,0.000312269,0.000003285666,0.0001323294,0.0776709],"genre_scores_gemma":[0.9297957,0.00003225503,0.03461361,0.0001647588,0.0000138521,3.144974e-7,0.00001983477,0.000006317089,0.03535333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7402879,"threshold_uncertainty_score":0.999463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568175020156759,"score_gpt":0.3386676091790418,"score_spread":0.1818501071633659,"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."}}