{"id":"W7005115938","doi":"","title":"Philip Girard: A ‘very Canadian coup’? Hardly","year":2014,"lang":"en","type":"article","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001950946,0.0001029374,0.0001032898,0.00006906069,0.00005339644,0.00002855227,0.0001873526,0.0001053672,0.0005505359],"category_scores_gemma":[0.00008134385,0.00009799581,0.00009297468,0.00006836925,0.00004190501,0.000002184063,0.00004846582,0.00005041027,0.0001563847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798078,"about_ca_system_score_gemma":0.00008530098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02536701,"about_ca_topic_score_gemma":0.129724,"domain_scores_codex":[0.999288,0.00003064562,0.0001123173,0.0002698495,0.00007515855,0.0002240593],"domain_scores_gemma":[0.9992657,0.000004737365,0.00002491326,0.0004797984,0.00006420001,0.0001606708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000782264,0.00002333204,0.003860621,0.000006007847,0.00006431549,0.000004584509,0.000009206695,0.000004437843,0.5557669,0.0003376822,0.4322989,0.007616166],"study_design_scores_gemma":[0.00008063595,0.00003948928,0.000515121,0.000001674349,0.00001418249,0.000004520801,0.000006712029,0.0001163222,0.3035046,0.00009048537,0.6955011,0.0001251505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2616018,0.0003351146,0.01527434,0.001063167,0.00006593672,0.0002543215,0.00001012633,0.0001153835,0.7212799],"genre_scores_gemma":[0.9805268,0.00005485189,0.001112452,0.002826017,0.0001772854,0.00001095888,0.0001243227,0.00001692323,0.01515039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.718925,"threshold_uncertainty_score":0.9811231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00374752325207978,"score_gpt":0.215815065133433,"score_spread":0.2120675418813532,"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."}}