{"id":"W4400909973","doi":"10.1109/icde60146.2024.00436","title":"CAMO: Explaining Consensus Across MOdels","year":2024,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Waterloo","funders":"","keywords":"Computer science","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":[0.01280817,0.002265634,0.001593644,0.004669032,0.002873696,0.004115415,0.004392313,0.004015654,0.01843111],"category_scores_gemma":[0.1118449,0.001029036,0.003549305,0.002846139,0.002588249,0.006402823,0.006683022,0.003890729,0.001599731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002706112,"about_ca_system_score_gemma":0.003654139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033576,"about_ca_topic_score_gemma":0.01070458,"domain_scores_codex":[0.9917948,0.004189388,0.0004218895,0.001854238,0.001353042,0.0003867267],"domain_scores_gemma":[0.9226868,0.0616731,0.004332605,0.006701022,0.003509426,0.00109698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000530599,0.0002133053,0.0185577,0.00119378,0.0009064339,0.001000288,0.003455902,0.3098273,0.002001759,0.4824569,0.04558325,0.1342727],"study_design_scores_gemma":[0.00006844711,0.00003885709,0.0009823937,0.0001475234,0.00007411308,0.00008470973,0.0002353105,0.625021,0.0005885008,0.3650774,0.007632064,0.00004961147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01717,0.0003861974,0.9658778,0.003011586,0.0002795419,0.0002495859,0.00196294,0.004569962,0.006492439],"genre_scores_gemma":[0.4078653,0.0003663454,0.5785338,0.001599189,0.0003601337,0.001313825,0.005351278,0.001771765,0.002838397],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01843111,"threshold_uncertainty_score":0.0677368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3283073698216383,"score_gpt":0.4690964426371528,"score_spread":0.1407890728155145,"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."}}