{"id":"W6957698311","doi":"10.60527/75xq-p143","title":"Ma thèse en 180 secondes, finale canadienne - Édition 2016Maud Gratuze, Université Laval (Québec) - Troisième prix","year":2016,"lang":"fr","type":"other","venue":"Fondation Maison des sciences de l'homme","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Doors; Section (typography)","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001109426,0.0007954122,0.0006260122,0.000982497,0.001695265,0.0006777358,0.00230249,0.0005045143,0.03409199],"category_scores_gemma":[0.0004362057,0.0007573632,0.0002338605,0.001619002,0.001980174,0.00314945,0.0005199321,0.0005001511,0.001645936],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004658869,"about_ca_system_score_gemma":0.003474341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02587796,"about_ca_topic_score_gemma":0.1239976,"domain_scores_codex":[0.9946024,0.0006723218,0.000686751,0.001731385,0.0007485109,0.00155859],"domain_scores_gemma":[0.9964653,0.0005041955,0.0009597176,0.0008348481,0.0005687043,0.0006671819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001927236,0.0009690146,0.004588798,0.0004130926,0.0003425584,0.000479705,0.02159123,0.03592943,0.003923173,0.3825286,0.2365206,0.312521],"study_design_scores_gemma":[0.00197516,0.0007002375,0.007086465,0.000554583,0.00009591034,0.000345049,0.0006865954,0.2354413,0.0008281192,0.01712674,0.7335114,0.001648464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001926854,0.001042886,0.8527394,0.004866095,0.001800236,0.0008784092,0.0003616523,0.0003264099,0.1360581],"genre_scores_gemma":[0.007472114,0.0008719697,0.200195,0.0005567753,0.0006643035,0.00006045968,0.0001099186,0.0001541656,0.7899153],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6538572,"threshold_uncertainty_score":0.9996044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785619235036946,"score_gpt":0.2727007264336351,"score_spread":0.2448445340832657,"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."}}