{"id":"W7065148296","doi":"","title":"Diet Groothuis wint Frater Willibrordus Prijs 2023","year":2023,"lang":"nl","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Visions of Science Network for Learning","funders":"","keywords":"Milk products; Social life","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000443617,0.001042835,0.00100494,0.0001566709,0.000575357,0.0002812461,0.0005406322,0.0005696664,0.005432156],"category_scores_gemma":[0.00000263417,0.001042117,0.0004605286,0.0001853895,0.0001701228,0.000370357,0.0003976259,0.0007878077,0.04895381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006554133,"about_ca_system_score_gemma":0.00007873126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008648274,"about_ca_topic_score_gemma":0.000002713927,"domain_scores_codex":[0.9954191,0.0001583826,0.001115483,0.001211002,0.0008170245,0.001279029],"domain_scores_gemma":[0.9983428,0.00004786481,0.0005085517,0.0007539962,0.00001039238,0.0003364471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002885218,0.0007818735,0.8584971,0.001063223,0.00423394,0.00008157833,0.004961579,0.07604963,0.005278441,0.0004412183,0.04341827,0.004904596],"study_design_scores_gemma":[0.005122323,0.0006408879,0.006277929,0.004702566,0.0008201701,0.00000962952,0.05845128,0.6151003,0.0001593807,0.0004732949,0.300408,0.007834138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527756,0.002906109,0.00457788,0.00008880688,0.006623385,0.002202512,0.001079522,0.0004939779,0.02925221],"genre_scores_gemma":[0.800862,0.000395797,0.00005791914,0.00002255976,0.002184448,0.0002968959,0.0003230966,0.0009031757,0.1949541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8522192,"threshold_uncertainty_score":0.9992029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714437915662078,"score_gpt":0.2156110019022069,"score_spread":0.1984666227455861,"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."}}