{"id":"W6990407495","doi":"","title":"Développement d'outils d'intelligence artificielle pour la caractérisation de lames histologiques marquées par nanoparticules plasmoniques","year":2024,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic test equipment; Machine epsilon; Feature matching","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003464115,0.001306849,0.0009830663,0.001265734,0.0004894858,0.002655889,0.002248137,0.002010965,0.003484775],"category_scores_gemma":[0.007290278,0.0008717867,0.001354234,0.000656865,0.0008976699,0.001679321,0.001182052,0.001196446,0.001681647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035956,"about_ca_system_score_gemma":0.0007445875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002095365,"about_ca_topic_score_gemma":0.00170204,"domain_scores_codex":[0.998086,0.0003461982,0.0001414504,0.0003794623,0.0009412841,0.0001056957],"domain_scores_gemma":[0.9952923,0.002154555,0.0003403144,0.0005747236,0.001542644,0.00009545159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004379099,0.000239956,0.003268676,0.001050438,0.0001643569,0.0003263578,0.0003594421,0.05497468,0.6594639,0.003353554,0.002893155,0.2734676],"study_design_scores_gemma":[0.00003539644,0.000329145,0.002214354,0.00009158436,0.00009416914,0.0003783052,0.000114421,0.4499645,0.5266225,0.002076428,0.01799013,0.00008913136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05585602,0.001003393,0.9347491,0.0003720013,0.0002484661,0.0002426701,0.0002163929,0.004362487,0.002949513],"genre_scores_gemma":[0.1786173,0.0007313882,0.8145967,0.0003300667,0.0000447262,0.0003783682,0.0005212396,0.0005079189,0.004272208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003484775,"threshold_uncertainty_score":0.0183202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789976352471698,"score_gpt":0.2597506517101392,"score_spread":0.2418508881854222,"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."}}