{"id":"W4389949996","doi":"10.1042/bio_2023_160","title":"STEMinism is for everyone","year":2023,"lang":"en","type":"article","venue":"The Biochemist","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Media studies; Sociology; Library science; Computer science","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":[0.0004555746,0.0001310388,0.000106928,0.00002980281,0.0001536868,0.00003718367,0.0004556278,0.0001520966,0.00003095654],"category_scores_gemma":[0.0002474688,0.00009008986,0.0001216417,0.0001569715,0.0002358998,0.000001362557,0.0002173444,0.00007058775,0.0001761637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000943551,"about_ca_system_score_gemma":0.00008452707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004633494,"about_ca_topic_score_gemma":0.000001882399,"domain_scores_codex":[0.9989014,0.00001396152,0.0002078542,0.0002278612,0.0002532034,0.0003957319],"domain_scores_gemma":[0.9991863,0.00004221411,0.00005141286,0.0004919743,0.0001069621,0.0001211388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005106161,0.00001947654,0.00007882481,0.00007941155,0.00004336352,4.669994e-7,0.0001270996,7.87533e-7,0.5688974,0.0000116004,0.4277114,0.002979057],"study_design_scores_gemma":[0.0003453993,0.0001242142,0.0003041633,0.000008808733,0.000009627256,0.000003275064,0.0002375623,0.0001932516,0.6552347,0.0001465674,0.3432681,0.0001243217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760267,0.002165179,0.002106731,0.006154918,0.000752837,0.001239998,0.0005282185,0.0001289559,0.0108965],"genre_scores_gemma":[0.9421418,0.0009155815,0.0003973515,0.001336733,0.0009043855,0.0001155495,0.0005684996,0.00003287055,0.0535872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08633726,"threshold_uncertainty_score":0.3673758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973275246717183,"score_gpt":0.3095495416375384,"score_spread":0.2798167891703666,"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."}}