{"id":"W2285369913","doi":"10.1063/1.4937712","title":"Science, technology, society, and environment (STSE) and pre-service physics teacher education: Lessons for physics and education faculty","year":2015,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Curriculum; Physics education; Mathematics education; Work (physics); Frame (networking); Science education; Engineering ethics; Physics; Pedagogy; Engineering; Sociology; Psychology; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005829101,0.000375155,0.0005586993,0.000938382,0.005604825,0.009386598,0.001269413,0.00250243,0.01017383],"category_scores_gemma":[0.007555943,0.0002924984,0.0005151839,0.001381366,0.009845727,0.01137172,0.008105131,0.006957135,0.0007871842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006765825,"about_ca_system_score_gemma":0.0320756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02578854,"about_ca_topic_score_gemma":0.05534929,"domain_scores_codex":[0.9981871,0.0007002233,0.00004879969,0.0001379629,0.0003625678,0.0005633182],"domain_scores_gemma":[0.9916536,0.003422537,0.0002965707,0.0003102041,0.000827379,0.00348973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001118405,0.0008315215,0.01845221,0.0008544495,0.00003006875,0.0005248098,0.03534531,0.0009237877,0.0008106535,0.4317163,0.06220032,0.4481988],"study_design_scores_gemma":[0.00003982402,0.0003278056,0.03374654,0.002118662,0.00003424354,0.0002942354,0.1519041,0.000945567,0.001233438,0.340071,0.4691961,0.00008852027],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1161159,0.0306232,0.01070592,0.7090515,0.002434174,0.00009457612,0.00008663279,0.0001922027,0.1306959],"genre_scores_gemma":[0.9149933,0.02253571,0.0114262,0.01773236,0.0008320535,0.0001300072,0.00008525632,0.000103611,0.03216166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9943952,"threshold_uncertainty_score":0.05127686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08264632743181125,"score_gpt":0.3070216830280581,"score_spread":0.2243753555962469,"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."}}