{"id":"W4387591970","doi":"10.1017/9781316718636.017","title":"Case Selection","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Ask price; Set (abstract data type); Computer science; Causal inference; Case selection; Model selection; Operations research; Data science; Management science; Artificial intelligence; Engineering; Econometrics; Economics; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000670367,0.0002357004,0.0003597102,0.0004357899,0.001078501,0.0000930801,0.0004124944,0.000323198,0.00008173502],"category_scores_gemma":[0.0001072535,0.0002971134,0.0002589451,0.00005354209,0.0007674195,0.0001230382,0.0002321067,0.0005658488,0.0004343048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000593835,"about_ca_system_score_gemma":0.0003785993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004360747,"about_ca_topic_score_gemma":0.0009891097,"domain_scores_codex":[0.997843,0.0004753909,0.0001671956,0.0004955952,0.0006347466,0.00038403],"domain_scores_gemma":[0.9982188,0.0004486189,0.0001736251,0.0002554085,0.0006545544,0.0002490117],"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":[0.00002331815,0.000004372245,0.000001544914,0.00001651513,0.0001935629,0.002175153,0.00102223,0.000002099101,0.00001137702,0.8836209,0.1124476,0.0004812966],"study_design_scores_gemma":[0.000162691,0.00003044353,0.00000313218,0.00003771321,0.0001278551,0.00001984915,0.001320604,0.00007019476,0.00003657879,0.0001049614,0.9977787,0.0003073401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001271656,0.00002534045,0.0005457692,0.00004497748,0.0001237087,0.0003755915,0.0001130872,0.0002476832,0.9983967],"genre_scores_gemma":[0.002301797,0.0001173333,0.00003532747,0.00001939237,0.0002327989,0.000001169684,0.00002470031,0.00003742262,0.9972301],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.885331,"threshold_uncertainty_score":0.9999481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161777213857357,"score_gpt":0.3564038853553512,"score_spread":0.1946266714979943,"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."}}