{"id":"W6980256466","doi":"","title":"Binocular interactions in normal and abnormal visual systems: MEG investigation","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetoencephalography; Binocular vision","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":[0.0003294158,0.0001910028,0.0002645517,0.0005282094,0.0002381022,0.0006060193,0.0002125379,0.0003814113,0.00313456],"category_scores_gemma":[0.002496257,0.000159652,0.0001707412,0.0003608277,0.0005090252,0.0004488005,0.0004410772,0.0003571279,0.000308931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002276835,"about_ca_system_score_gemma":0.0002203211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002211307,"about_ca_topic_score_gemma":0.003642898,"domain_scores_codex":[0.9998821,0.00002442216,0.00001055898,0.00002475174,0.00002974503,0.00002827425],"domain_scores_gemma":[0.9996514,0.0001991649,0.00004490724,0.00002518626,0.00005052394,0.0000287519],"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":[0.007747953,0.0003288004,0.1542572,0.0006996116,0.0002272706,0.007883349,0.002878361,0.0007718182,0.5787671,0.004397501,0.01200187,0.2300392],"study_design_scores_gemma":[0.0003360515,0.0009285501,0.9405558,0.0001021066,0.0001796818,0.01233713,0.002013573,0.003482657,0.0271777,0.004228093,0.008608939,0.00004971391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838958,0.001728562,0.003095462,0.0007857601,0.00005149591,0.00009308782,0.001444877,0.00005523962,0.008849598],"genre_scores_gemma":[0.9963736,0.0005433075,0.001279362,0.0002233109,0.00006764605,0.00004700138,0.0002512696,0.00002632001,0.001187986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00313456,"threshold_uncertainty_score":0.01048613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182837444963288,"score_gpt":0.3839463717720992,"score_spread":0.3421179973224663,"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."}}