{"id":"W1935711966","doi":"10.1080/01621459.2012.665615","title":"Comment","year":2012,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute on Drug Abuse; National Institute of Mental Health","keywords":"Mathematics","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":[0.003819758,0.0006468734,0.0005987672,0.001029312,0.00162672,0.002097713,0.002604336,0.01075394,0.3742129],"category_scores_gemma":[0.06645735,0.0004514393,0.001145927,0.0008460294,0.00138174,0.003534729,0.002306267,0.006784301,0.2170842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476702,"about_ca_system_score_gemma":0.002921193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01947837,"about_ca_topic_score_gemma":0.01483264,"domain_scores_codex":[0.9969111,0.0004327465,0.000334689,0.0003464999,0.001596849,0.0003780949],"domain_scores_gemma":[0.9792514,0.007043455,0.0009656939,0.001481759,0.01001855,0.001239225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002663624,0.000006082719,0.0001170132,0.00003497847,0.000001705963,0.00003552172,0.00002833121,0.00001325786,0.00005645355,0.0005530244,0.9954488,0.003678099],"study_design_scores_gemma":[0.0000554008,0.00001504785,0.0006832512,0.0001873079,0.000006428386,0.0001625752,0.0001882468,0.00009500289,0.0004617742,0.001736658,0.9963819,0.00002639922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001274706,0.000803057,0.003707757,0.7844918,0.09776777,0.0003872186,0.01030658,0.006104878,0.09515618],"genre_scores_gemma":[0.009714755,0.0009703371,0.002949209,0.733395,0.01498364,0.0006075951,0.002802443,0.001735715,0.2328413],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3742129,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08176577088976356,"score_gpt":0.4250696571065793,"score_spread":0.3433038862168158,"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."}}