{"id":"W4230936330","doi":"10.1093/ijnp/pyw042.048","title":"Speaker 4: Stan Floresco, Canada","year":2016,"lang":"en","type":"article","venue":"The International Journal of Neuropsychopharmacology","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Speech recognition; Computer science; Natural language processing; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001669812,0.001233687,0.001099659,0.001094058,0.001935955,0.002356238,0.001010816,0.004237328,0.2429835],"category_scores_gemma":[0.00382961,0.0002873635,0.0005111132,0.0003518119,0.0008039139,0.001030856,0.001096297,0.003609422,0.06618928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003675976,"about_ca_system_score_gemma":0.004642192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0519308,"about_ca_topic_score_gemma":0.07730837,"domain_scores_codex":[0.9990557,0.00006606691,0.00004151272,0.0003003847,0.0003312637,0.000205076],"domain_scores_gemma":[0.9967804,0.000269824,0.00009197397,0.00004978991,0.001880514,0.0009274299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002433837,0.00002788632,0.0006322498,0.0001371701,0.000007252284,0.0006489351,0.0001062081,0.00004806718,0.0005451628,0.0007497754,0.9504877,0.04636635],"study_design_scores_gemma":[0.00007088957,0.0001117684,0.002399976,0.0004460866,0.00002438924,0.002097725,0.0004861104,0.0001869703,0.0008398634,0.0006425271,0.992657,0.00003661475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006232709,0.04387365,0.002070022,0.4708457,0.3027868,0.0003858149,0.002775478,0.0009142387,0.1701155],"genre_scores_gemma":[0.02461751,0.01634036,0.0008599247,0.03937143,0.05251974,0.0001748057,0.0006190457,0.0003968756,0.8651003],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2429835,"threshold_uncertainty_score":0.8128609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918574854078327,"score_gpt":0.3178442165628018,"score_spread":0.2986584680220185,"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."}}