{"id":"W32353242","doi":"10.1021/acs.langmuir.0c00128","title":"Interview met mevrouw A. de Vries-de Vries","year":2003,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Innovates; University of Alberta; Government of Canada","keywords":"Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004472539,0.0001173822,0.0001344439,0.00001964933,0.00005324194,0.00002256251,0.0001670725,0.0001857113,0.0002370713],"category_scores_gemma":[0.0004653748,0.00009114679,0.00008338421,0.00006195816,0.0001687255,0.000001304414,0.00006212135,0.00008232005,0.00002618077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001339658,"about_ca_system_score_gemma":0.0000973967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000194451,"about_ca_topic_score_gemma":0.00003694558,"domain_scores_codex":[0.9991412,0.000141613,0.0001385763,0.0002113651,0.00006960097,0.0002977152],"domain_scores_gemma":[0.9995798,0.00002156954,0.00003072229,0.000238363,0.00002888246,0.0001006986],"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":[0.00008820448,0.0003027844,0.01205559,0.000186463,0.0004356669,0.00004759248,0.0007496653,0.000008298242,0.4894606,0.01902166,0.2514569,0.2261866],"study_design_scores_gemma":[0.0002260928,0.0002382317,0.0006809754,0.00001346716,0.00001558596,0.00004934101,0.0004873439,0.000006844652,0.1875007,0.0009670664,0.8096673,0.0001470036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7216319,0.01608222,0.13356,0.003630101,0.0006165639,0.0002408425,0.00002327784,0.0002296598,0.1239854],"genre_scores_gemma":[0.9618441,0.0005230902,0.02605136,0.002731065,0.00008859397,0.00001590372,0.00001937031,0.00001512748,0.00871138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582104,"threshold_uncertainty_score":0.3716858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343481802659606,"score_gpt":0.288776782180299,"score_spread":0.2653419641537029,"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."}}