{"id":"W7043263304","doi":"","title":"STEMxPolicy: An approach to empowering STEM students to become leaders in policymaking","year":2022,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Relevance (law); Scope (computer science); Subject (documents); Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00273369,0.0002234527,0.0004039977,0.00110718,0.002079101,0.00008904661,0.001991876,0.0001321516,0.0002556069],"category_scores_gemma":[0.00006752137,0.0003339076,0.0001505774,0.002002501,0.0001800694,0.000837446,0.0007318176,0.0007548237,0.00006561121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030284,"about_ca_system_score_gemma":0.0002478856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313184,"about_ca_topic_score_gemma":0.009161822,"domain_scores_codex":[0.9957583,0.001092831,0.000249131,0.0006405153,0.001336437,0.0009228028],"domain_scores_gemma":[0.9986897,0.0000865629,0.00009053584,0.0004175875,0.00006410973,0.0006515294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002734972,0.0003661542,0.496187,0.00003479067,0.00005121903,0.00002863632,0.4913643,0.005737601,0.001222934,0.003115714,0.00007499785,0.001543216],"study_design_scores_gemma":[0.001326584,0.000270311,0.6309405,0.00005269987,0.00003117587,0.000004887953,0.3421928,0.00002969406,0.00004902823,0.0001000167,0.02441054,0.0005916916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784629,0.00002040395,0.0001417426,0.001823877,0.0001396904,0.0005849933,0.00003927357,0.0001090803,0.01867808],"genre_scores_gemma":[0.9952383,0.000002925965,0.0004691065,0.0007609946,0.00009810216,0.000004850051,0.000008380821,0.00003337205,0.00338394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1491714,"threshold_uncertainty_score":0.9999113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08711605515285314,"score_gpt":0.3545738171779241,"score_spread":0.267457762025071,"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."}}