{"id":"W4400784754","doi":"10.21125/edulearn.2024.1414","title":"COIL@UARCTIC: INCLUSIVE APPROACHES TO EDUCATIONAL NETWORK DEVELOPMENT","year":2024,"lang":"en","type":"article","venue":"EDULEARN proceedings","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Electromagnetic coil; Engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01254781,0.0006343431,0.0003671164,0.00228962,0.01012991,0.01354335,0.003095559,0.002911507,0.03163292],"category_scores_gemma":[0.01560376,0.0005478588,0.0005820148,0.001911253,0.007351962,0.01032116,0.02438889,0.003139528,0.005973533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006785461,"about_ca_system_score_gemma":0.01456686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004739497,"about_ca_topic_score_gemma":0.01261555,"domain_scores_codex":[0.9881504,0.008567993,0.0002331692,0.0006874629,0.001452469,0.0009085807],"domain_scores_gemma":[0.9832121,0.005683671,0.0006686526,0.001672526,0.001908437,0.006854734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008326641,0.0003289088,0.002094597,0.000680012,0.00003199841,0.0005495573,0.03639552,0.001250574,0.0008985371,0.5426679,0.1048418,0.3101773],"study_design_scores_gemma":[0.00001868702,0.00006421365,0.0006958712,0.0003986903,0.00001428335,0.0002947389,0.01268295,0.001041237,0.0005415811,0.06246983,0.9217563,0.00002167288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01857789,0.002778044,0.2174364,0.02813085,0.001890452,0.0008145804,0.0001711958,0.001871127,0.7283294],"genre_scores_gemma":[0.4033375,0.005068071,0.3066029,0.005423933,0.0004922237,0.002833855,0.0005289352,0.001397584,0.2743149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03163292,"threshold_uncertainty_score":0.1058227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614752423030042,"score_gpt":0.2452571093542712,"score_spread":0.2091095851239707,"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."}}