{"id":"W6945637496","doi":"10.24443/usi-arc-bib_fcor.2839","title":"Montréal","year":2022,"lang":"fr","type":"other","venue":"USI-Biblioteca","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003630128,0.0006257588,0.0008437829,0.003323087,0.0002611102,0.00009802962,0.0005332507,0.0007894716,0.3319767],"category_scores_gemma":[0.001298204,0.0006209075,0.0003448048,0.003875844,0.0002037374,0.00008214869,0.0007040969,0.001648245,0.01225372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004129782,"about_ca_system_score_gemma":0.0003449196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006725882,"about_ca_topic_score_gemma":0.0006317807,"domain_scores_codex":[0.9966449,0.0001699078,0.0004970366,0.000768731,0.0009282757,0.0009911798],"domain_scores_gemma":[0.997364,0.0006031766,0.0002587466,0.001078968,0.00006973354,0.0006253193],"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":[0.0001461826,0.0003948208,0.005207036,0.000345827,0.000346521,0.001949687,0.0001840466,0.0001778247,0.00008222467,0.006264633,0.9009264,0.08397486],"study_design_scores_gemma":[0.001636416,0.000610512,0.00926398,0.000769685,0.0005221755,0.0002237802,0.0001564894,0.0007357386,0.00008910448,0.000211778,0.9851488,0.0006315645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006600402,0.09464427,0.0007206647,0.002904265,0.003780674,0.0006689157,0.0004519137,0.0003433054,0.8958259],"genre_scores_gemma":[0.009536276,0.010896,0.002074733,0.002955767,0.005776526,0.00009180762,0.0005459336,0.0006006825,0.9675223],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.319723,"threshold_uncertainty_score":0.9998884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308335721724687,"score_gpt":0.2472868750906558,"score_spread":0.2342035178734089,"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."}}