{"id":"W4405713403","doi":"10.29173/hsi472","title":"Trends in youth climate change research highlight strengths and areas of improvement in canadian STEM outreach programs","year":2022,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Climate change; Political science; Geography; Psychology; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02756363,0.0001125796,0.0002773678,0.004788637,0.0009996122,0.0002500647,0.001042704,0.00003582152,0.00008121083],"category_scores_gemma":[0.0001858676,0.00009267508,0.0000260236,0.01178638,0.0007951119,0.0006619528,0.0008799686,0.0004379783,0.000006719381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430491,"about_ca_system_score_gemma":0.002552907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1145155,"about_ca_topic_score_gemma":0.601081,"domain_scores_codex":[0.9929249,0.000493199,0.0008039873,0.0007870873,0.003400239,0.00159061],"domain_scores_gemma":[0.9980431,0.0001781259,0.0001776076,0.0005160806,0.0004065069,0.0006785495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001257141,0.000234519,0.253122,0.00002270941,9.072152e-7,0.00002940174,0.06387637,0.00002113373,0.00004967786,0.003294574,0.0004102099,0.6788128],"study_design_scores_gemma":[0.001059835,0.004910366,0.6327605,0.000134506,0.000001054206,0.000009168319,0.3471348,0.009106657,0.00014434,0.001408877,0.00304324,0.0002866182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886221,0.0002505086,7.565195e-7,0.008779378,0.0003648727,0.0007048012,0.00009202296,0.000008031328,0.001177498],"genre_scores_gemma":[0.9993007,0.00003981186,0.00002658233,0.0001170366,0.00005777814,0.0002603531,0.00001783753,0.000006309527,0.0001735692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6785262,"threshold_uncertainty_score":0.9553061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3597212778947359,"score_gpt":0.5247777390864581,"score_spread":0.1650564611917222,"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."}}