{"id":"W2801407393","doi":"","title":"Why Pursue STEM When We Have STSE? A Canadian Perspective","year":2017,"lang":"en","type":"article","venue":"Journal for Activist Science and Technology Education","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Psychology; Social psychology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.001550134,0.00007805013,0.0001504487,0.0008989385,0.002093156,0.000223266,0.0003044097,0.0001181945,0.00001736649],"category_scores_gemma":[0.02083575,0.00005901666,0.00002232869,0.0001718943,0.001092737,0.0005239057,0.00003303048,0.000502993,0.000004192639],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452258,"about_ca_system_score_gemma":0.03757378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009392587,"about_ca_topic_score_gemma":0.006979991,"domain_scores_codex":[0.9985338,0.000009933429,0.0001228418,0.0002178273,0.0004106346,0.0007049132],"domain_scores_gemma":[0.9955029,0.0000417963,0.000130116,0.0002940945,0.001212757,0.002818297],"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":[0.00009183825,0.0001619913,0.01081923,0.00006274339,0.0000236633,0.00002271626,0.001627265,1.69768e-8,0.00418642,0.01012885,0.1167585,0.8561168],"study_design_scores_gemma":[0.00140566,0.002000225,0.01787745,0.0004813237,0.00005193749,0.001912322,0.02725477,0.0001813412,0.006017995,0.06055087,0.8820655,0.0002006331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.271322,0.0003101749,0.0001324925,0.7238082,0.0005853425,0.0004729388,0.000003359331,0.00001461556,0.003350849],"genre_scores_gemma":[0.9939556,0.0002734703,0.0004870754,0.003270449,0.0003241409,0.00003911564,5.468524e-7,0.000006880763,0.00164278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8559161,"threshold_uncertainty_score":0.999206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030389249897401,"score_gpt":0.4690779963497779,"score_spread":0.3660390713600378,"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."}}