{"id":"W2085721543","doi":"10.12927/hcpol.2015.24044","title":"“Frankly, My Dear, I Don’t Give a Damn”","year":2014,"lang":"fr","type":"article","venue":"Healthcare policy","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009180472,0.0006049507,0.0008684346,0.0003905979,0.0003122297,0.00009063944,0.0005663235,0.0007203917,0.0005768988],"category_scores_gemma":[0.002530066,0.0006531882,0.0002282612,0.0007314762,0.0004309119,0.0003546377,0.0003120452,0.001086554,0.001105636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009895909,"about_ca_system_score_gemma":0.0009120352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04323769,"about_ca_topic_score_gemma":0.003348719,"domain_scores_codex":[0.9954562,0.0007705803,0.0009565307,0.0006882655,0.0005185269,0.001609925],"domain_scores_gemma":[0.9960708,0.0008205096,0.0004667741,0.00139989,0.0004519705,0.0007900458],"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":[0.00002013304,0.0001490982,0.0004130682,0.001668477,0.00002967159,0.00001389227,0.00190014,0.000003100631,0.00007233139,0.8286201,0.0116694,0.1554406],"study_design_scores_gemma":[0.0003721048,0.0005450597,0.0005864911,0.0008361103,0.00003920665,0.00008609566,0.000234723,0.0003376013,0.001046538,0.6710621,0.3243309,0.0005231213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02802471,0.01507511,0.2781847,0.5641736,0.003082308,0.004360713,0.0007374508,0.003878186,0.1024831],"genre_scores_gemma":[0.7885272,0.003032129,0.1540649,0.02005929,0.005998988,0.0003432379,0.00005408542,0.0003817923,0.02753835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7605025,"threshold_uncertainty_score":0.9996721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290045771424425,"score_gpt":0.4559563712802988,"score_spread":0.3269517941378564,"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."}}