{"id":"W4293164160","doi":"10.4000/rhcf.2653","title":"Conclusion","year":2019,"lang":"fr","type":"article","venue":"Revue d’histoire des chemins de fer","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004487865,0.0003956255,0.0004985456,0.0001893319,0.0004851311,0.0001318463,0.001968996,0.0005430322,0.0003154879],"category_scores_gemma":[0.0002682607,0.0004880238,0.0002477273,0.0006209593,0.0009146696,0.0004582162,0.001209302,0.0006296564,0.002280085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00218459,"about_ca_system_score_gemma":0.0002867889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009529024,"about_ca_topic_score_gemma":0.0000175674,"domain_scores_codex":[0.9974625,0.00006988801,0.0004394304,0.0008417796,0.0003008319,0.0008855393],"domain_scores_gemma":[0.997533,0.0001955634,0.0002359626,0.001643157,0.0001940107,0.0001982768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002717991,0.0003589041,0.002798776,0.001581555,0.00006824059,0.0005014409,0.008659972,0.0003352695,0.04294487,0.1053556,0.09817816,0.73919],"study_design_scores_gemma":[0.0004004782,0.0001515581,0.0006049838,0.001019895,0.00003022791,0.0006206924,0.00006212856,0.02711667,0.01137666,0.005297263,0.9526834,0.000636064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5375631,0.1006395,0.06461295,0.02028958,0.01553292,0.0008474123,0.00001935385,0.002804221,0.2576909],"genre_scores_gemma":[0.6559962,0.0002532404,0.06420874,0.0005403464,0.0003411055,0.0000131956,0.000006931226,0.00006605796,0.2785742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8545052,"threshold_uncertainty_score":0.9997572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107997933922552,"score_gpt":0.2261521095895228,"score_spread":0.2050721302502973,"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."}}