{"id":"W7037077753","doi":"","title":"Deep learning as an investigation tool in neuroimaging","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; McGill University","keywords":"Deep learning; Neuroimaging; Feature (linguistics); Deep brain stimulation; Artificial neural network","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":[0.002799199,0.0007532932,0.0006033852,0.001541773,0.0004677185,0.002269768,0.0006281042,0.001192871,0.01366],"category_scores_gemma":[0.008766139,0.0005605684,0.0005937124,0.001115567,0.00122288,0.002115326,0.00126684,0.002112613,0.003470869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000976918,"about_ca_system_score_gemma":0.00139637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062622,"about_ca_topic_score_gemma":0.01266596,"domain_scores_codex":[0.9993933,0.0002302627,0.00003418446,0.0001378179,0.0001538128,0.00005058634],"domain_scores_gemma":[0.9968485,0.002217101,0.000116861,0.0002384356,0.0003975842,0.0001815431],"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":[0.0001884165,0.00006947856,0.002276644,0.0004843001,0.0001395153,0.0002559863,0.0004639378,0.009663269,0.006259103,0.07621684,0.0686495,0.835333],"study_design_scores_gemma":[0.0001107515,0.0002888261,0.01570523,0.001353339,0.0003143931,0.00225525,0.0004744464,0.2658513,0.0297356,0.3573247,0.3263759,0.0002101363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01870792,0.06799379,0.8290453,0.02609735,0.001290611,0.0001272067,0.001268226,0.003365909,0.05210371],"genre_scores_gemma":[0.2770992,0.06404517,0.5321995,0.002554198,0.002030214,0.0005179358,0.001057703,0.001761461,0.1187345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01366,"threshold_uncertainty_score":0.04569721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822383195582536,"score_gpt":0.2241980187584348,"score_spread":0.2059741868026094,"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."}}