{"id":"W4236012250","doi":"10.7202/1068012ar","title":"Presentation","year":2019,"lang":"fr","type":"article","venue":"TTR traduction terminologie rédaction","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; York University","funders":"","keywords":"Presentation (obstetrics); Computer science; Medicine; Radiology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003719798,0.000226203,0.0002404927,0.000174848,0.0003589166,0.0001080182,0.0001969593,0.0004573303,0.004392248],"category_scores_gemma":[0.0000630739,0.000244777,0.0001615085,0.0004939088,0.0003767638,0.001282004,0.00002572599,0.0003767823,0.005347184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004788864,"about_ca_system_score_gemma":0.0001627633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124996,"about_ca_topic_score_gemma":0.000106686,"domain_scores_codex":[0.9978407,0.0003535654,0.0003513139,0.0004906289,0.0004404981,0.0005233118],"domain_scores_gemma":[0.9991046,0.00008323314,0.0002593304,0.000299552,0.0001237894,0.0001295398],"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":[0.0001158079,0.0003315361,0.007728299,0.0001874204,0.0001021413,0.00001019375,0.009421342,0.0002259378,0.006797598,0.06928352,0.007358599,0.8984376],"study_design_scores_gemma":[0.000651788,0.0002304121,0.0223826,0.00008102124,0.00008266024,0.00004660398,0.004412229,0.000529078,0.00401251,0.00292994,0.9642611,0.0003800166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.832216,0.002931975,0.0006799698,0.02114894,0.03685961,0.0008170634,0.00001053387,0.0004446722,0.1048913],"genre_scores_gemma":[0.6335083,0.002109861,0.0001323388,0.0001028677,0.001876473,0.00001795209,0.00002333078,0.00002007055,0.3622088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9569026,"threshold_uncertainty_score":0.9981717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0746303172217062,"score_gpt":0.3308000430440836,"score_spread":0.2561697258223773,"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."}}