{"id":"W7048774949","doi":"","title":"Modèle hiérarchique pour l’amélioration de l’évaluation
\\nde l’état mental de l’opérateur à l’aide de technologies
\\nportables / Hierarchical model for improved operator functional
\\nstate assessment based on wearables.","year":2017,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Point (geometry); Homogeneous","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002199833,0.001018287,0.0008104125,0.001370934,0.0004771834,0.001624491,0.001383347,0.0008994769,0.004102377],"category_scores_gemma":[0.005042124,0.0005165797,0.001659834,0.001011763,0.0004716415,0.001743234,0.000990407,0.001353717,0.001159235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413354,"about_ca_system_score_gemma":0.002049723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02657535,"about_ca_topic_score_gemma":0.03173159,"domain_scores_codex":[0.998794,0.0003933618,0.00009867753,0.0002583617,0.0003616524,0.00009403151],"domain_scores_gemma":[0.9979652,0.0008274119,0.0001558929,0.0002210091,0.0007733066,0.00005730164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006531527,0.0003329832,0.0113205,0.0007687873,0.0005233872,0.0002055747,0.0007717955,0.4606707,0.01982755,0.02519991,0.009776357,0.4699492],"study_design_scores_gemma":[0.00001789034,0.0001132372,0.003394556,0.00006230867,0.00007194901,0.00003181912,0.0001245164,0.9838741,0.002015715,0.006884033,0.003375991,0.00003386617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02432641,0.0007697645,0.9690486,0.0004473834,0.0001139297,0.0002270114,0.0007037849,0.001331168,0.003031932],"genre_scores_gemma":[0.5096039,0.001364562,0.4760032,0.0002687833,0.0001082192,0.0008225172,0.002079165,0.0002293791,0.009520325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02657535,"threshold_uncertainty_score":0.05284137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243154032875753,"score_gpt":0.3426828925678256,"score_spread":0.2183674892802503,"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."}}