{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001065809,0.0002011486,0.0003545277,0.0005291848,0.0003788417,0.0001757375,0.0002646105,0.0001423992,0.0009216783],"category_scores_gemma":[0.00006850467,0.0001611167,0.0002716705,0.00002833346,0.0001036716,0.0001123787,0.000001672667,0.0003427625,0.000008887934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006537362,"about_ca_system_score_gemma":0.0004224806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533072,"about_ca_topic_score_gemma":0.8755604,"domain_scores_codex":[0.9991559,0.0000141863,0.0003150556,0.0001081391,0.00008387209,0.0003228223],"domain_scores_gemma":[0.9990152,0.00004308339,0.0003289881,0.00009832189,0.0003419735,0.0001724976],"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":[0.000006694228,0.00002207904,0.003595908,0.0003060632,0.0003295603,0.0000118871,0.01051348,0.00000373501,0.00006484748,0.04073701,0.9295008,0.01490798],"study_design_scores_gemma":[0.0002199965,0.0001392195,0.001269407,0.0002597068,0.0002075631,7.84998e-7,0.002249617,0.000006389875,0.000152614,0.01028188,0.9849713,0.0002415162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6886107,0.02489137,0.000001111431,0.001275476,0.006244526,0.0004629516,0.0009977105,0.00004879439,0.2774673],"genre_scores_gemma":[0.7396011,0.000008096848,0.00007217471,0.0003827782,0.00386302,0.00002657773,0.0008202025,0.00007603675,0.25515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8740274,"threshold_uncertainty_score":0.9999916,"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."}}