{"id":"W3134539134","doi":"10.54656/vwxa9015","title":"Knowledge Mobilization, Citizen Science, and Education","year":2021,"lang":"en","type":"article","venue":"Journal of Community Engagement and Scholarship","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Work (physics); Knowledge transfer; Political science; Public relations; Climate change mitigation; Psychology; Medical education; Environmental resource management; Engineering; Knowledge management; Medicine; Ecology; Environmental science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.005394264,0.00007333682,0.0001008865,0.00007432419,0.0008659239,0.0001359706,0.0002107569,0.00002924431,0.0004538261],"category_scores_gemma":[0.001326458,0.00006790779,0.00002169748,0.0003546149,0.000482134,0.0007304636,0.0003730457,0.0005821675,0.000006878031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793865,"about_ca_system_score_gemma":0.0002298617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009973904,"about_ca_topic_score_gemma":0.00001958737,"domain_scores_codex":[0.9984806,0.0007901032,0.0002295641,0.00007872663,0.0003050204,0.0001159906],"domain_scores_gemma":[0.9992224,0.0001348866,0.0001074554,0.0002182641,0.0001479271,0.0001690734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001821755,0.001415276,0.8291487,0.00006349009,0.00001507609,0.000002101083,0.01542021,0.00002235212,0.01951195,0.001147839,0.00330075,0.1299341],"study_design_scores_gemma":[0.0002563695,0.00006587207,0.9474348,0.00001824158,0.00001779721,0.00004004898,0.01608044,0.000008957146,0.002626108,0.007341945,0.02602383,0.00008560708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813399,0.000465781,0.00004077994,0.0007805434,0.0001311137,0.00007372879,3.305449e-7,0.000004285343,0.01716354],"genre_scores_gemma":[0.9974195,0.0002028823,0.001009014,0.0005307259,0.00002243766,0.000002389003,0.000001621122,0.000004412468,0.0008070205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298485,"threshold_uncertainty_score":0.6660074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05065904096105875,"score_gpt":0.3204533224259618,"score_spread":0.269794281464903,"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."}}