{"id":"W2963652182","doi":"10.29173/cmplct29350","title":"NiCE Teacher Workshop: Engaging K-12 Teachers in the Development of Curricular Materials That Utilize Complex Networks Concepts","year":2018,"lang":"en","type":"article","venue":"Complicity An International Journal of Complexity and Education","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office","keywords":"Set (abstract data type); Mathematics education; Task (project management); Nice; Discipline; Workforce; Computer science; Pedagogy; Engineering ethics; Sociology; Psychology; Engineering; Political 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":[0.004322181,0.0008165304,0.0005175375,0.0004946473,0.002602891,0.003213938,0.002808742,0.002763704,0.01911124],"category_scores_gemma":[0.008590942,0.0005656107,0.0008678834,0.0002375372,0.002158543,0.003222163,0.007370115,0.003997052,0.006938734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820471,"about_ca_system_score_gemma":0.003218026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252884,"about_ca_topic_score_gemma":0.005972562,"domain_scores_codex":[0.9979133,0.001078923,0.00007812806,0.000303332,0.0002881725,0.0003381359],"domain_scores_gemma":[0.9948453,0.001808114,0.0002545553,0.0003021887,0.0004384191,0.002351423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005196288,0.002608985,0.003785436,0.001683403,0.00004596516,0.002647749,0.07224002,0.00154112,0.008958193,0.01240993,0.7408332,0.1527265],"study_design_scores_gemma":[0.0001715508,0.0007398236,0.003829036,0.0005422166,0.00002871966,0.0008726752,0.02844073,0.0006071206,0.002855721,0.007020182,0.9547939,0.00009834688],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.399516,0.004669114,0.1287509,0.1106906,0.01774273,0.004878344,0.004173572,0.007483799,0.3220949],"genre_scores_gemma":[0.5497465,0.003646975,0.178731,0.01851027,0.001411646,0.004602059,0.002500665,0.001362458,0.2394885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01911124,"threshold_uncertainty_score":0.06393349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024600979445592,"score_gpt":0.389799341035601,"score_spread":0.2873392430910418,"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."}}