{"id":"W1970937306","doi":"10.15200/winn.141680.08615","title":"Science is broken. Part 1.","year":2014,"lang":"en","type":"article","venue":"The Winnower","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Aeronautics; Computer science; Engineering","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":[0.0009331804,0.0000869874,0.00006937344,0.00004912304,0.0001914648,0.00005915714,0.0006384974,0.00006706833,0.0001174689],"category_scores_gemma":[0.0003714354,0.00005319231,0.0000445819,0.0002202479,0.0008220227,0.000003462215,0.0002906132,0.00008698332,0.0002817792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007139451,"about_ca_system_score_gemma":0.0001426624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005757802,"about_ca_topic_score_gemma":0.000003883346,"domain_scores_codex":[0.9988805,0.00002774439,0.0001527855,0.0001883533,0.0004036252,0.0003470051],"domain_scores_gemma":[0.9990931,0.0000150006,0.00003689905,0.0005789292,0.0001533661,0.0001226664],"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":[0.0000689975,0.0001120221,0.001422,0.00003610591,0.00004457512,5.397154e-7,0.0005437119,0.00000700863,0.6321195,0.0018513,0.2721494,0.09164483],"study_design_scores_gemma":[0.0001717237,0.0001974143,0.001221123,0.000005054964,0.000003921184,0.000003689521,0.00005615627,0.0003403827,0.1461823,0.0002800866,0.8514403,0.00009780427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8549073,0.0003025184,0.003051016,0.007809788,0.0009364163,0.0003095954,0.00001800546,0.00002678247,0.1326386],"genre_scores_gemma":[0.9861639,0.0001264044,0.000304848,0.003344945,0.0005395004,0.000004979291,0.00001372732,0.000008741681,0.009492982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5792909,"threshold_uncertainty_score":0.3621795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430783463042102,"score_gpt":0.2795559797063985,"score_spread":0.2652481450759775,"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."}}