{"id":"W7048457714","doi":"","title":"L'apprentissage profond, une puissante alternative pour la reconnaissance d'intention","year":2020,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Projection (relational algebra); Domain (mathematical analysis); Context (archaeology); ESPACE","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001392178,0.000415525,0.0006466549,0.0001599419,0.0003596891,0.00001759308,0.001116287,0.0003333496,0.001203498],"category_scores_gemma":[0.00004462775,0.0004135281,0.0005965968,0.000429122,0.001721025,0.0001754714,0.0005048652,0.0006481182,0.0004375904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004247914,"about_ca_system_score_gemma":0.0002679116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004054581,"about_ca_topic_score_gemma":0.0047865,"domain_scores_codex":[0.9982934,0.0002449078,0.0003765574,0.0005512738,0.0002434472,0.0002904169],"domain_scores_gemma":[0.9988073,0.00009305713,0.000368078,0.0004319583,0.0001949322,0.0001047279],"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":[0.0002248476,0.002727058,0.05895706,0.01157873,0.00494267,0.00009439274,0.02680124,0.004366312,0.1871807,0.6240392,0.0153508,0.06373697],"study_design_scores_gemma":[0.003502662,0.0002197625,0.009333899,0.02634719,0.001451444,0.00006737857,0.009676616,0.01058346,0.1332074,0.004232693,0.8002577,0.001119812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3216201,0.01031554,0.1039745,0.002568059,0.002782058,0.001251649,0.0001955282,0.0001453361,0.5571472],"genre_scores_gemma":[0.9078168,0.0002468853,0.002740134,0.000007172991,0.0002326972,0.000001636929,0.00003314389,0.00005271363,0.08886878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7849069,"threshold_uncertainty_score":0.9998317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620811604571969,"score_gpt":0.2165476105175524,"score_spread":0.2003394944718327,"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."}}