{"id":"W4249510237","doi":"10.1108/prt.2010.12939aab.021","title":"Troy's Mergal BIT20 receives Canadian regulatory approval","year":2010,"lang":"en","type":"article","venue":"Pigment & Resin Technology","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Drug approval; Business; Political science; Medicine; Pharmacology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001306302,0.0001764195,0.0002613608,0.000514149,0.0001348261,0.00001455551,0.0002185814,0.0002950432,0.0009329446],"category_scores_gemma":[0.00005763985,0.0001573834,0.00007963926,0.0003236345,0.0002549816,0.00005150997,0.00008010655,0.0006574744,0.00007200705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636856,"about_ca_system_score_gemma":0.0002641264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01181498,"about_ca_topic_score_gemma":0.03890309,"domain_scores_codex":[0.9987417,0.00001598975,0.0002266821,0.0003451316,0.0001922006,0.0004783],"domain_scores_gemma":[0.9989329,0.00001550306,0.00005634336,0.0006825492,0.00004764825,0.0002650702],"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":[0.0003941144,0.0005785232,0.1010173,0.0001113882,0.0003246426,0.001362297,0.0002041423,0.000001374758,0.5510198,0.06021082,0.1298216,0.154954],"study_design_scores_gemma":[0.001840467,0.0006743503,0.03597311,0.000052274,0.0001407345,0.0006896022,0.0003275091,0.00005700075,0.07882142,0.001931747,0.8791125,0.0003792073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381786,0.0004931604,0.00001157663,0.04986968,0.0005462728,0.0003592583,0.00001101047,0.0002654865,0.01026492],"genre_scores_gemma":[0.9942821,0.00004722547,0.001911224,0.001792674,0.000209885,0.00005495085,0.00003151131,0.00003145694,0.00163901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7492909,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004724920524725738,"score_gpt":0.2325399599617466,"score_spread":0.2278150394370208,"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."}}