{"id":"W2970298539","doi":"10.5430/jct.v8n3p122","title":"The Curriculum and Community Enterprise for Restoration Science S.T.E.M. + C Professional Learning Model: Expansion and Enhancement","year":2019,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thriving; Workforce; Curriculum; Professional development; Professional learning community; Pedagogy; Value (mathematics); Learning community; Sociology; Public relations; Psychology; Political science; Social science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002549087,0.0003629399,0.000199644,0.0009363167,0.004450655,0.0048025,0.002032212,0.001890452,0.0108119],"category_scores_gemma":[0.002404751,0.0002106825,0.0004235307,0.0006746041,0.003457137,0.00266565,0.01096456,0.002618607,0.002659648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004778307,"about_ca_system_score_gemma":0.02394221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005594263,"about_ca_topic_score_gemma":0.02064578,"domain_scores_codex":[0.9978127,0.0006270426,0.00005321118,0.0002437311,0.0008182027,0.0004450863],"domain_scores_gemma":[0.9963988,0.0001975405,0.0002316846,0.0002895542,0.0004970679,0.002385259],"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":[0.0001006656,0.004259138,0.01378265,0.0005950942,0.00001169127,0.0004514554,0.01920836,0.001700186,0.004154711,0.298861,0.0764637,0.5804113],"study_design_scores_gemma":[0.0001253449,0.001285718,0.03000224,0.000861744,0.00002001002,0.0009471345,0.01882138,0.006372808,0.003345062,0.09475046,0.8434047,0.00006348659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.3165776,0.001264773,0.0576552,0.04917745,0.001227675,0.002310032,0.0002306493,0.0007145513,0.5708422],"genre_scores_gemma":[0.7602924,0.001494523,0.0982471,0.005082858,0.0002050525,0.001982817,0.000346088,0.0001513941,0.1321979],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0108119,"threshold_uncertainty_score":0.03616941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184197299507557,"score_gpt":0.3130789578983734,"score_spread":0.3012369849032979,"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."}}