{"id":"W29857812","doi":"10.1016/j.jcjd.2018.04.006","title":"Machines for a perfect world","year":2006,"lang":"en","type":"dissertation","venue":"Canadian Journal of Diabetes","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Breakthrough T1D Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.002111703,0.0005219242,0.0003838772,0.0008396548,0.004805461,0.009207208,0.0005522673,0.001522118,0.01903932],"category_scores_gemma":[0.00375235,0.0002859475,0.0004873163,0.0004505479,0.01857701,0.01093571,0.004660555,0.00349854,0.003889592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003096682,"about_ca_system_score_gemma":0.00320154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248037,"about_ca_topic_score_gemma":0.002719649,"domain_scores_codex":[0.9987329,0.0004625701,0.00003185785,0.0001842946,0.0003929932,0.0001953593],"domain_scores_gemma":[0.9984341,0.0004374899,0.0001063586,0.0003891274,0.0002181589,0.000414616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001417343,0.000008990495,0.0001322578,0.00005273048,0.000005193845,0.00004972213,0.006610104,0.0002314724,0.0003774445,0.9512585,0.0280747,0.01318485],"study_design_scores_gemma":[0.000009492539,0.00001904849,0.0002794146,0.000143173,0.00000612229,0.0001593056,0.004044686,0.000371165,0.0005379426,0.2925593,0.7018521,0.00001820857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02172152,0.01186371,0.02455918,0.07438759,0.002254169,0.00006689784,0.0001873595,0.000552774,0.8644067],"genre_scores_gemma":[0.7095068,0.01107651,0.02012947,0.007660249,0.00116677,0.0001546408,0.0001580671,0.0005046911,0.2496428],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01903932,"threshold_uncertainty_score":0.06369281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165084631787166,"score_gpt":0.2139483851553897,"score_spread":0.2022975388375181,"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."}}