{"id":"W2953654529","doi":"10.7152/acro.v29i1.15447","title":"Synthetic Classification and Diverse Communities","year":2019,"lang":"en","type":"article","venue":"Advances in Classification Research Online","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Variety (cybernetics); Diversity (politics); Computer science; Data science; Artificial intelligence; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.006155996,0.00037048,0.0006086552,0.002079807,0.002273771,0.002755517,0.001276896,0.001640755,0.002744799],"category_scores_gemma":[0.02886911,0.00023546,0.0005519086,0.002038866,0.00220234,0.003222821,0.002577054,0.001539064,0.0004727232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476289,"about_ca_system_score_gemma":0.0008944264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243837,"about_ca_topic_score_gemma":0.003109567,"domain_scores_codex":[0.9950517,0.003233067,0.000166152,0.0005983955,0.0007058553,0.000244787],"domain_scores_gemma":[0.9741243,0.01617677,0.001581813,0.004741712,0.002344299,0.001030999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00122445,0.0007541368,0.04157795,0.0005660809,0.000199336,0.0005777936,0.005224715,0.1532158,0.003398049,0.6231118,0.02584655,0.1443031],"study_design_scores_gemma":[0.0001190718,0.000164904,0.004324876,0.00009257665,0.00003263237,0.0003721947,0.002340122,0.5787491,0.001817466,0.3890332,0.02290401,0.00004985641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6342182,0.00138179,0.3107569,0.00767859,0.0005850059,0.0004642759,0.002180231,0.0005026074,0.04223232],"genre_scores_gemma":[0.941377,0.0001545874,0.05283732,0.000510794,0.0001530599,0.000250823,0.002061657,0.00004622627,0.002608501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006155996,"threshold_uncertainty_score":0.03255641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1488566705054963,"score_gpt":0.4274938307263271,"score_spread":0.2786371602208308,"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."}}