{"id":"W6982072752","doi":"","title":"Grants Germaine Cousin","year":2014,"lang":"fr","type":"other","venue":"Persée (Ministère de lEnseignement supérieur et de la Recherche)","topic":"Pharmacology and Nanomedicine Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cousin; Work (physics); Quarter (Canadian coin); Inheritance (genetic algorithm)","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":[0.00248048,0.001182057,0.0009173939,0.001236192,0.001234947,0.0027942,0.001516612,0.003114369,0.5503928],"category_scores_gemma":[0.008882985,0.0003239411,0.0007178451,0.001001999,0.0005806822,0.001368441,0.002883843,0.002386853,0.2821326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065139,"about_ca_system_score_gemma":0.006003237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128436,"about_ca_topic_score_gemma":0.01229627,"domain_scores_codex":[0.9979566,0.0003277576,0.00007215633,0.0003519047,0.0008119207,0.0004794926],"domain_scores_gemma":[0.9937031,0.0006047042,0.0002808547,0.0003627642,0.00155273,0.003495782],"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":[0.0001542666,0.00005964179,0.0003821637,0.00009459016,0.00001271238,0.0001615524,0.00002717828,0.00004821389,0.0002008452,0.00379745,0.940851,0.05421039],"study_design_scores_gemma":[0.00004329406,0.00004523819,0.0005334186,0.00005102075,0.000003668169,0.0002202448,0.00002181778,0.00004148254,0.00008293823,0.0004473301,0.9985056,0.000004048269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003559219,0.03648588,0.001434359,0.1004695,0.04448286,0.0004158683,0.02891741,0.002659502,0.7815754],"genre_scores_gemma":[0.02132394,0.01038034,0.001789605,0.008431617,0.004386301,0.0001919786,0.01449728,0.0007320925,0.9382669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5503928,"threshold_uncertainty_score":0.6413101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1651646453265964,"score_gpt":0.4755635986141509,"score_spread":0.3103989532875545,"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."}}