{"id":"W6960690523","doi":"10.14288/1.0079918","title":"The Daily Canadian","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Perspective (graphical); Variety (cybernetics)","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":[0.001621153,0.0007772297,0.0007113459,0.003073392,0.01344933,0.01297851,0.001474829,0.002769613,0.3439779],"category_scores_gemma":[0.006053553,0.0005377423,0.0005328536,0.005577082,0.00344787,0.003726698,0.00496876,0.004263679,0.07145653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02988089,"about_ca_system_score_gemma":0.07179691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8286739,"about_ca_topic_score_gemma":0.9266232,"domain_scores_codex":[0.9962305,0.0001960767,0.00006540694,0.0004542819,0.002156871,0.000896698],"domain_scores_gemma":[0.9953508,0.0001964177,0.0000880735,0.0003377996,0.002101755,0.001925163],"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":[0.000009044325,0.000006760726,0.0002058588,0.00001913971,0.000001532668,0.00003343811,0.000131979,0.00001645492,0.00004555774,0.0195005,0.9652361,0.0147937],"study_design_scores_gemma":[0.000001304387,9.554263e-7,0.0003389371,0.00001131699,4.978916e-7,0.000009544733,0.0002167686,0.000007140382,0.00001244774,0.0005292735,0.9988683,0.000003507024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001528456,0.005499577,0.00033588,0.05959592,0.01402231,0.00005647717,0.005269812,0.0004902699,0.9132013],"genre_scores_gemma":[0.00757123,0.002161563,0.0003223587,0.005129797,0.0008257547,0.00001866422,0.0009703543,0.0001615504,0.9828387],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8286739,"threshold_uncertainty_score":0.9357359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563669940784385,"score_gpt":0.2391400260334113,"score_spread":0.2235033266255674,"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."}}