{"id":"W6898986445","doi":"10.58079/11nsb","title":"Carto-Québec","year":2024,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"","field":"","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"category_scores_codex":[0.001956508,0.001418582,0.001110053,0.001044146,0.001184557,0.002997753,0.001238553,0.0009328166,0.1273586],"category_scores_gemma":[0.000502842,0.001644273,0.0008856526,0.002827386,0.001311797,0.05143693,0.0005678518,0.001674409,0.3696143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003406635,"about_ca_system_score_gemma":0.003312605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008315763,"about_ca_topic_score_gemma":0.09356029,"domain_scores_codex":[0.9907088,0.0009774641,0.001791087,0.002380233,0.002118442,0.00202398],"domain_scores_gemma":[0.9949521,0.0008737546,0.000405318,0.001616439,0.0009058438,0.001246514],"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":[0.0001200399,0.0005408414,0.00004589533,0.0007276479,0.0004595288,0.001413417,0.0003497187,0.0003654234,0.0016654,0.4406853,0.5206705,0.03295633],"study_design_scores_gemma":[0.001429861,0.0004841745,0.003387019,0.002969883,0.0009047466,0.001095569,0.0003906734,0.002994085,0.005169086,0.005591822,0.9737435,0.001839606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004999077,0.1151681,0.003312652,0.5390604,0.05368275,0.003025117,0.015255,0.002806332,0.2626905],"genre_scores_gemma":[0.5220401,0.002885476,0.002556761,0.05611498,0.01694388,0.002080332,0.01035287,0.001256772,0.3857688],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5170411,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898545422980243,"score_gpt":0.262619287367939,"score_spread":0.2436338331381366,"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."}}