{"id":"W2944495690","doi":"10.15353/cjo.75.543","title":"None of us are as smart as all of us","year":2013,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001366691,0.0005608572,0.00200233,0.01049229,0.0002196743,0.00008746494,0.001217855,0.002928324,0.004934081],"category_scores_gemma":[0.001396377,0.0004943887,0.000896245,0.003545935,0.001034941,0.0005692071,0.00003591548,0.005598034,0.0001286486],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384662,"about_ca_system_score_gemma":0.008894717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02429843,"about_ca_topic_score_gemma":0.002754918,"domain_scores_codex":[0.9947599,0.0001632844,0.002510437,0.0003236129,0.0009314097,0.001311363],"domain_scores_gemma":[0.9877333,0.0002264748,0.002923148,0.00065751,0.002913683,0.005545886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001592067,0.0001106025,0.9692677,0.0002380526,0.002004081,0.004273966,0.0003631473,0.00006863021,0.002093536,0.0000322401,0.01993385,0.001455019],"study_design_scores_gemma":[0.003586978,0.001993371,0.9329423,0.00200863,0.0008677536,0.02262234,0.001482195,0.00002600768,0.01156858,0.00002813281,0.02234504,0.0005287022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680724,0.00897644,0.00009161008,0.01621616,0.00188284,0.0003398838,0.00008779141,0.000008200494,0.0043247],"genre_scores_gemma":[0.9937969,0.0009006406,0.001743347,0.002071898,0.0004091676,0.000001830304,0.00000765164,0.00009173786,0.0009768197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0363254,"threshold_uncertainty_score":0.9997508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008964385273357203,"score_gpt":0.2822376485781571,"score_spread":0.2732732633047999,"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."}}