{"id":"W6961548729","doi":"10.14288/1.0079601","title":"The Daily Canadian","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"CRISPR and Genetic Engineering","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":[],"category_scores_codex":[0.001064484,0.0008193693,0.0006305441,0.002407977,0.01299862,0.01003917,0.001204122,0.002147109,0.3996799],"category_scores_gemma":[0.003386281,0.0004502926,0.000493193,0.004100708,0.002444044,0.002559485,0.004355528,0.003700744,0.09382871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02048166,"about_ca_system_score_gemma":0.04651581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7477483,"about_ca_topic_score_gemma":0.9092404,"domain_scores_codex":[0.9975685,0.0001100361,0.00003803823,0.0003012737,0.001385323,0.0005967929],"domain_scores_gemma":[0.997453,0.00008812167,0.00004966876,0.0001767919,0.001135084,0.001097211],"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":[0.00001012616,0.000007453245,0.0001961577,0.00001976508,0.000001557121,0.00004249245,0.0001349707,0.00001499115,0.00006357767,0.01374727,0.9681754,0.01758629],"study_design_scores_gemma":[0.000001126767,0.000001178185,0.0003429312,0.00001043122,4.931588e-7,0.00001075088,0.0002142243,0.000005365769,0.00001496034,0.000343201,0.9990521,0.000003215557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001534362,0.003496779,0.0003023424,0.02658419,0.009998743,0.00005481143,0.004219753,0.0005142809,0.9532947],"genre_scores_gemma":[0.00469006,0.001240156,0.0002550263,0.002029442,0.0004168705,0.00001246274,0.0007425414,0.0001241151,0.9904892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3996799,"threshold_uncertainty_score":0.8562838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143809865319501,"score_gpt":0.2972052107286418,"score_spread":0.2828242241966917,"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."}}