{"id":"W2116606867","doi":"10.1111/theo.12007","title":"Absences and Late Preemption","year":2013,"lang":"en","type":"article","venue":"Theoria","topic":"Philosophy and History of Science","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Preemption; Causal model; Computer science; Mathematical economics; Economics; Mathematics; Statistics","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":[],"category_scores_codex":[0.00007361759,0.00003380997,0.00003684917,0.00001860467,0.0002029784,0.00007897098,0.00005638994,0.000008341625,0.003339861],"category_scores_gemma":[0.000004085376,0.00002515723,0.000008953183,0.000005970319,0.0003582189,0.0003014685,0.00001106717,0.00002649574,0.0005658204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003336086,"about_ca_system_score_gemma":0.000003139337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001351432,"about_ca_topic_score_gemma":0.00003875008,"domain_scores_codex":[0.9997656,0.000009571149,0.00004345653,0.0000691585,0.00004931353,0.0000628854],"domain_scores_gemma":[0.9998751,0.00001429122,0.00001785632,0.00005115966,0.00001691495,0.00002462868],"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":[0.000001684078,0.000004620372,0.00002146619,0.00000287501,0.000001375004,1.426562e-7,0.01113546,1.76707e-7,0.0003852292,0.9849288,0.0008107348,0.002707394],"study_design_scores_gemma":[0.00005420286,0.0000412532,0.001506185,0.000006809445,0.000002640235,5.01846e-7,0.0004479153,0.0000475788,0.00002681604,0.9177859,0.08001743,0.00006272326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5885205,0.00009794852,0.000002320996,0.0004498306,0.000357722,0.00004336654,0.00000132514,0.00002983663,0.4104971],"genre_scores_gemma":[0.9893088,0.000009473881,0.00002001027,0.0001317124,0.000289413,0.000005055203,4.497681e-7,0.000001730273,0.01023336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4007883,"threshold_uncertainty_score":0.9975712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009625080604446,"score_gpt":0.1803948631875204,"score_spread":0.1602986123814759,"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."}}