{"id":"W170571007","doi":"","title":"Tant et plus","year":2003,"lang":"fr","type":"article","venue":"Québec français/Québec-français","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005063572,0.005152929,0.00507832,0.001951732,0.002805253,0.001182581,0.00414679,0.002967129,0.06570493],"category_scores_gemma":[0.00525049,0.005678491,0.003161003,0.005186862,0.005288497,0.003244242,0.0009825439,0.005295321,0.2755563],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008142018,"about_ca_system_score_gemma":0.03573822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926402,"about_ca_topic_score_gemma":0.9908437,"domain_scores_codex":[0.9743534,0.003318388,0.005199996,0.005380003,0.00441747,0.007330685],"domain_scores_gemma":[0.9825922,0.003036334,0.001938242,0.006729533,0.001855264,0.003848422],"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":[0.00194738,0.005708786,0.07114867,0.002056379,0.003652633,0.002958274,0.1729977,0.003251341,0.01143017,0.02044391,0.6746237,0.02978107],"study_design_scores_gemma":[0.01229134,0.001124194,0.02319836,0.001249901,0.001964603,0.001052141,0.001545524,0.002569282,0.006178977,0.0002421848,0.9425902,0.005993309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1996132,0.5460708,0.00300758,0.03970175,0.01135994,0.005382622,0.002925301,0.003875346,0.1880635],"genre_scores_gemma":[0.8623274,0.001253442,0.002511384,0.007577888,0.001598395,0.0007719844,0.0001821373,0.002852421,0.1209249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6627142,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469254251647603,"score_gpt":0.2432851227243445,"score_spread":0.2285925802078685,"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."}}