{"id":"W2015094446","doi":"10.1159/000357527","title":"Population Biobanking and International Collaboration","year":2014,"lang":"en","type":"article","venue":"Pathobiology","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biobank; Population; Business; Political science; Environmental planning; Geography; Medicine; Environmental health; Biology; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003646091,0.0000419943,0.0001228546,0.00007822022,0.0000469835,0.00001742477,0.00003857003,0.00008033776,0.00003114279],"category_scores_gemma":[0.00007133214,0.00003719159,0.00001253922,0.00005132432,0.00001297337,0.00006587573,0.00001601304,0.00003662926,0.00006942426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000305914,"about_ca_system_score_gemma":0.00000275656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004504398,"about_ca_topic_score_gemma":0.00008282335,"domain_scores_codex":[0.999512,0.00001615832,0.0002311831,0.0001482401,0.000006217312,0.00008622878],"domain_scores_gemma":[0.9997676,0.000007410966,0.0001175689,0.00006646516,0.00001740392,0.00002352539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002862186,0.000006301474,0.7151149,0.00001069969,0.000005624333,2.19767e-7,0.0001794559,0.000004346943,0.0001071697,0.2563543,0.0000324413,0.02818174],"study_design_scores_gemma":[0.0003357391,0.000086683,0.8281152,0.00001016612,5.294298e-7,0.00002256991,0.00006232579,0.002930605,0.00001358296,0.07343964,0.09483504,0.0001479474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872393,0.0003168876,0.003191002,0.001184807,0.001299996,0.0000786707,0.0000301101,0.00002148864,0.006637739],"genre_scores_gemma":[0.9989316,0.0000523831,0.0003271422,0.0001940178,0.0002039752,0.000006622606,0.00005462337,0.000004450584,0.000225147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1829146,"threshold_uncertainty_score":0.1516629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528330849668458,"score_gpt":0.2523790489873682,"score_spread":0.2270957404906837,"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."}}