{"id":"W4244631597","doi":"10.17116/profmed201720216-18","title":"CINDI-Canada","year":2017,"lang":"en","type":"article","venue":"Russian Journal of Preventive Medicine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.0004146879,0.001097993,0.0007025269,0.001370766,0.002407653,0.002937955,0.001291565,0.001231407,0.5876443],"category_scores_gemma":[0.001408114,0.0003704751,0.0005190765,0.001448826,0.0006652232,0.0004030888,0.001361757,0.001548562,0.1879388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008452218,"about_ca_system_score_gemma":0.03363712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5095201,"about_ca_topic_score_gemma":0.6731361,"domain_scores_codex":[0.999315,0.00004166674,0.00001724202,0.0001778643,0.0002426181,0.0002055232],"domain_scores_gemma":[0.9985398,0.00009508579,0.00005065103,0.00008625567,0.0005989232,0.0006292335],"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":[0.0006236589,0.0002023898,0.003329115,0.0005797815,0.00007721777,0.0008403068,0.00009194742,0.0002925907,0.002122529,0.0128827,0.7653975,0.2135602],"study_design_scores_gemma":[0.00006927962,0.00002852984,0.003496391,0.0001047944,0.00001602447,0.0002344739,0.00008982891,0.00009478464,0.0005043016,0.0005835863,0.99477,0.000007923553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005030649,0.01580074,0.0006992698,0.01234251,0.005381964,0.0003038859,0.02521251,0.001028737,0.9341997],"genre_scores_gemma":[0.009906649,0.003698422,0.0004823752,0.001045165,0.0002039549,0.0000428537,0.003730229,0.0001903068,0.9807],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4904799,"threshold_uncertainty_score":0.9867368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016050005258981,"score_gpt":0.3030356980289067,"score_spread":0.2828751979763169,"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."}}