{"id":"W7066674740","doi":"","title":"Intégration de l'imagerie par résonance magnétique fonctionnelle (IRMf) à la tractographie pour cartographier les réseaux corticaux impliqués dans la dénomination d'images","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Work (physics); Term (time); Field (mathematics)","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":[0.001607803,0.0004558449,0.000379207,0.001473093,0.0003275671,0.001494128,0.000375628,0.0006099078,0.01513373],"category_scores_gemma":[0.002864871,0.0002263271,0.0004773774,0.0008189369,0.0004079636,0.0007740755,0.0003755692,0.0005710783,0.002608831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004760165,"about_ca_system_score_gemma":0.001085018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133966,"about_ca_topic_score_gemma":0.02517869,"domain_scores_codex":[0.9996686,0.0001012353,0.00001677261,0.00005788926,0.0001101034,0.00004541865],"domain_scores_gemma":[0.999025,0.0002696243,0.00009018992,0.0001249043,0.0004352485,0.00005505617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003991404,0.00009863333,0.01097968,0.0004720867,0.0001102879,0.000443247,0.0008880242,0.003974488,0.3620889,0.007225854,0.007794781,0.6055249],"study_design_scores_gemma":[0.0001190578,0.0006942347,0.3996082,0.0005773511,0.0004817288,0.004282273,0.001232072,0.1262446,0.3319647,0.009595952,0.1249518,0.0002479595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.333491,0.005190963,0.6184337,0.003181666,0.0006483285,0.0004914131,0.002537044,0.004661099,0.03136482],"genre_scores_gemma":[0.5629264,0.002538016,0.4113381,0.0002559927,0.000274287,0.0002117138,0.0006929426,0.0009506079,0.020812],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01513373,"threshold_uncertainty_score":0.05062741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003584367143662105,"score_gpt":0.1805274469852295,"score_spread":0.1769430798415674,"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."}}