{"id":"W7067810528","doi":"","title":"\\n Québec-Montréal de Ricardo Trogi","year":2002,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Cancer and biochemical research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Constraint (computer-aided design); Production (economics); Work (physics); Subject (documents)","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":[],"category_scores_codex":[0.0001541988,0.0003144876,0.0002873232,0.00007973409,0.0003687456,0.00002785174,0.0004804577,0.000528729,0.001114592],"category_scores_gemma":[0.0001113864,0.0003638019,0.00038579,0.0002670383,0.0002766714,0.00001133841,0.0005170414,0.0003561479,0.0003825552],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005801981,"about_ca_system_score_gemma":0.0001723554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09911399,"about_ca_topic_score_gemma":0.2618209,"domain_scores_codex":[0.9977753,0.0001245846,0.0001916941,0.0005891628,0.0003130592,0.001006159],"domain_scores_gemma":[0.9986067,0.0000474243,0.00008581684,0.0005494968,0.0001225061,0.0005879985],"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":[0.000397954,0.0002741283,0.0006282897,0.00006785872,0.0002886909,0.0009924953,0.0002258143,0.00005213153,0.1507002,0.0005402458,0.6470856,0.1987465],"study_design_scores_gemma":[0.001287418,0.0003627956,0.00034724,0.00003131325,0.0001273752,0.0005217789,0.0002320773,0.0008606595,0.03852082,0.00006711995,0.9572489,0.0003925547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3033505,0.6103818,0.0003415519,0.06982952,0.0002288643,0.0002273534,0.0001895113,0.00003763717,0.0154132],"genre_scores_gemma":[0.6004417,0.1164903,0.0004217435,0.0009030559,0.00079221,0.0000117518,0.00006811575,0.00005639359,0.2808147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4938916,"threshold_uncertainty_score":0.9998814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006751844643561569,"score_gpt":0.1830613062738888,"score_spread":0.1763094616303273,"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."}}