{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002722915,0.0008495164,0.0009807901,0.001367984,0.004495635,0.01004479,0.0007781635,0.003099996,0.3030238],"category_scores_gemma":[0.01051476,0.0002989946,0.0004493857,0.001157683,0.001656055,0.005983852,0.006860834,0.003747214,0.2133029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579795,"about_ca_system_score_gemma":0.004787502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000552262,"about_ca_topic_score_gemma":0.001736757,"domain_scores_codex":[0.996191,0.0004869944,0.000147372,0.0004295711,0.002068331,0.000676614],"domain_scores_gemma":[0.9862344,0.0006285525,0.000466541,0.0007476094,0.00327003,0.008652837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002760334,0.00005214961,0.0003440009,0.00005711586,0.000004158243,0.0000656835,0.0003798159,0.00001145246,0.0004483193,0.008299218,0.9223439,0.06796667],"study_design_scores_gemma":[0.000002692554,0.00001420082,0.0001592114,0.00003530949,0.000001232514,0.00004973552,0.0001551279,0.000006667847,0.00007809146,0.001033808,0.9984605,0.000003391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.005242671,0.004867337,0.00178061,0.1571514,0.04471707,0.000173663,0.0009385554,0.002064326,0.7830645],"genre_scores_gemma":[0.01654979,0.002437752,0.001261609,0.04532965,0.007566716,0.00009567779,0.0007385802,0.0005855237,0.9254345],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3030238,"threshold_uncertainty_score":0.9941519,"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."}}