{"id":"W2734389867","doi":"","title":"What STEM educations might we care for? Where, when, how and why?","year":2016,"lang":"en","type":"article","venue":"Journal for Activist Science and Technology Education","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Psychology; Actuarial science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004048783,0.0001001089,0.00009979183,0.000298215,0.0005938457,0.000273677,0.0002581766,0.0001504926,0.000001955629],"category_scores_gemma":[0.0004023837,0.00006632511,0.00002969555,0.0001665694,0.0008642189,0.00008963546,0.000078342,0.00008183148,7.50544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006356301,"about_ca_system_score_gemma":0.001081749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001388298,"about_ca_topic_score_gemma":0.00002801355,"domain_scores_codex":[0.9991169,0.000009611937,0.0001419244,0.0002494246,0.000187422,0.0002947234],"domain_scores_gemma":[0.9985694,0.00003480617,0.0001153673,0.0001932282,0.0009237378,0.0001634743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001918643,0.00005489458,0.000877962,0.00007329211,0.00001313344,5.342711e-8,0.000344812,1.482407e-8,0.1868151,0.0005111546,0.01775254,0.7935379],"study_design_scores_gemma":[0.0005419855,0.0009017102,0.0004322235,0.0001677329,0.00002340416,0.0001059113,0.02106414,0.00001861088,0.1593041,0.008103875,0.8091379,0.0001984059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919413,0.009851221,0.01320845,0.1813947,0.002578322,0.000854364,0.00002607435,0.0000184347,0.0001271097],"genre_scores_gemma":[0.9798019,0.01243731,0.003816352,0.0002270575,0.0003516207,0.0001193899,0.000008601456,0.0000110394,0.003226711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7933395,"threshold_uncertainty_score":0.4567441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552735300959492,"score_gpt":0.315031479925385,"score_spread":0.2995041269157901,"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."}}