{"id":"W4387566595","doi":"10.1017/9781316718636.012","title":"Integrated Inferences","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inference; Computer science; Process (computing); Data science; Tracing; Process tracing; Data mining; Management science; Artificial intelligence; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007108608,0.0003023733,0.0005028589,0.0005026387,0.000714779,0.0001393254,0.0009873463,0.0003735371,0.000145447],"category_scores_gemma":[0.0002174316,0.0003355183,0.0002829316,0.00006537828,0.00153045,0.0001398814,0.0003613215,0.0007037557,0.0006829982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004325484,"about_ca_system_score_gemma":0.0007604343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004957438,"about_ca_topic_score_gemma":0.0009722044,"domain_scores_codex":[0.9973943,0.0005438664,0.0002190674,0.0005406207,0.00086263,0.0004395465],"domain_scores_gemma":[0.9976051,0.0006625968,0.0002127961,0.0003689242,0.0008726321,0.0002779096],"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":[0.00002568865,0.000004803024,0.000004681277,0.00001460929,0.0002258034,0.00009062858,0.001182252,7.416396e-7,0.00001208938,0.8886911,0.1087086,0.001039021],"study_design_scores_gemma":[0.0001497501,0.00003183508,0.00002002396,0.0001083077,0.00009353487,1.71123e-7,0.002333187,0.00003239061,0.00003212953,0.0003348264,0.9965106,0.0003532659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007884167,0.00005666187,0.000375366,0.00008778528,0.0001595475,0.0003614328,0.0002220173,0.0002782292,0.9983801],"genre_scores_gemma":[0.00124023,0.0004008246,0.00003953135,0.00002722818,0.0001425193,0.00000134462,0.0000854812,0.00003448553,0.9980283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8883563,"threshold_uncertainty_score":0.9999097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1764231622285381,"score_gpt":0.3561211339331687,"score_spread":0.1796979717046306,"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."}}