{"id":"W2295604025","doi":"10.13034/jsst.v8i1.51","title":"ENHANCING SCIENTIFIC LITERACY: A RESOURCE FOR TEACHERS","year":2015,"lang":"en","type":"article","venue":"Journal of Student Science and Technology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Scientific literacy; GRASP; Mathematics education; Curriculum; Science education; Engineering ethics; Psychology; Computer science; Pedagogy; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00605254,0.0005967594,0.0013789,0.003746687,0.003897708,0.00774307,0.002726976,0.003658098,0.07007774],"category_scores_gemma":[0.03300574,0.000533235,0.0006939618,0.002324032,0.001356561,0.01252418,0.01356345,0.005522336,0.02981731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684241,"about_ca_system_score_gemma":0.01231146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006940349,"about_ca_topic_score_gemma":0.002566051,"domain_scores_codex":[0.9969914,0.001163947,0.0001922198,0.0002314566,0.0009953472,0.0004256134],"domain_scores_gemma":[0.9607412,0.01029014,0.001682369,0.002243244,0.005920094,0.01912299],"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":[0.00006582568,0.0006626693,0.002228083,0.0008339883,0.000007513833,0.0009852645,0.01165774,0.00006864602,0.001204297,0.006532087,0.6163034,0.3594505],"study_design_scores_gemma":[0.00007865073,0.0001520176,0.002268832,0.00144323,0.00001823842,0.001117638,0.01353241,0.0001334675,0.0007240779,0.01925193,0.9612259,0.00005359208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.06279285,0.02727076,0.0499907,0.4690817,0.01505903,0.00179258,0.002957228,0.01271268,0.3583426],"genre_scores_gemma":[0.2726573,0.03285895,0.2336091,0.08457235,0.008445363,0.005894396,0.006832601,0.004100197,0.3510298],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07007774,"threshold_uncertainty_score":0.2344334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117629395761875,"score_gpt":0.3415338695694924,"score_spread":0.3203575756118737,"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."}}