{"id":"W7048710898","doi":"","title":"LatÃ©ralisation hÃ©misphÃ©rique et lecture : lâutilisation de lâinformation visuelle disponible en\\nreconnaissance de mots par chaque hÃ©misphÃ¨re cÃ©rÃ©bral","year":2013,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identification (biology); Noise (video); Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009484383,0.0007559918,0.000531283,0.0005206252,0.0008198735,0.002554242,0.001068938,0.001192575,0.02811931],"category_scores_gemma":[0.001919331,0.0003442554,0.0006123637,0.000439254,0.0009028293,0.001991422,0.001655111,0.001194627,0.005561335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143379,"about_ca_system_score_gemma":0.00113523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579868,"about_ca_topic_score_gemma":0.004537008,"domain_scores_codex":[0.9991158,0.0001426235,0.00003402102,0.0001869476,0.0003940456,0.0001266033],"domain_scores_gemma":[0.9988338,0.0003900541,0.00009756082,0.00015492,0.0003926201,0.0001311028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001140875,0.0002446727,0.002132753,0.002332193,0.0000377801,0.0007103822,0.002141972,0.0139569,0.5262083,0.02582984,0.01080698,0.4144573],"study_design_scores_gemma":[0.0001194309,0.00287461,0.01188345,0.0005561323,0.000114715,0.001153118,0.00300852,0.06257424,0.53565,0.01294868,0.3689131,0.0002040071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4006902,0.01928578,0.4114365,0.0052708,0.002941973,0.0006282539,0.0006633412,0.004726736,0.1543564],"genre_scores_gemma":[0.7358283,0.006372375,0.1032551,0.0009540922,0.0003814386,0.0003469868,0.0007289046,0.0006993141,0.1514335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02811931,"threshold_uncertainty_score":0.09406853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003998606382531212,"score_gpt":0.1742495014260542,"score_spread":0.170250895043523,"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."}}