{"id":"W7038049396","doi":"","title":"Gabor Mate: Brain Development and Addiction (1h5m)","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Addiction; Object (grammar); Brain development; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005846792,0.0007196094,0.0006697837,0.00119074,0.001942758,0.002832543,0.0008099805,0.004474924,0.3502465],"category_scores_gemma":[0.001926923,0.0002752516,0.0003981764,0.0009340851,0.0007660741,0.00134004,0.00173443,0.003278636,0.1563241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003377562,"about_ca_system_score_gemma":0.002557365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06627683,"about_ca_topic_score_gemma":0.203368,"domain_scores_codex":[0.9995584,0.00004227942,0.00001331429,0.00006379747,0.0002035114,0.0001186732],"domain_scores_gemma":[0.9989441,0.000198275,0.00003055365,0.00002997872,0.0002963572,0.0005006972],"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":[0.00000493873,0.000002515989,0.00002128904,0.00001504401,3.818814e-7,0.00002294127,0.00001003778,0.000003877977,0.00001617223,0.0004579508,0.9896348,0.009810085],"study_design_scores_gemma":[0.000004013998,0.000004634581,0.0003598832,0.00009728321,0.000001124675,0.00007518296,0.00003592912,0.000009110749,0.00001717593,0.0004303459,0.9989616,0.000003761716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004353534,0.05868343,0.0004313974,0.2440825,0.1261222,0.0001024995,0.002801909,0.000672654,0.566668],"genre_scores_gemma":[0.002450064,0.01227573,0.0002248447,0.0310816,0.02121754,0.00004808015,0.0004305289,0.0001857562,0.9320859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3502465,"threshold_uncertainty_score":0.9267944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006734993376004484,"score_gpt":0.1803262210183287,"score_spread":0.1735912276423242,"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."}}