{"id":"W4415826541","doi":"10.5206/cjsotlrcacea.2025.1.16508","title":"Implementing Diverse Continuous Reflective Strategies in a Multi-Section General Chemistry II Lab","year":2025,"lang":"fr","type":"article","venue":"The Canadian Journal for the Scholarship of Teaching and Learning","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Mount Royal University","funders":"","keywords":"Reflection (computer programming); Reflective practice; Inclusion (mineral); Process (computing); Reflective thinking; Reflective writing; Experiential learning; Active learning (machine learning); Rote learning; Qualitative property","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01814852,0.0009838974,0.0006970818,0.0009735475,0.001498616,0.003806588,0.003797052,0.001313292,0.003368032],"category_scores_gemma":[0.02460027,0.0006518877,0.0009416851,0.0007190052,0.001611465,0.002120969,0.005389396,0.001748549,0.001174567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140904,"about_ca_system_score_gemma":0.004220388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004023325,"about_ca_topic_score_gemma":0.0008560434,"domain_scores_codex":[0.9913427,0.004291261,0.000563811,0.001875827,0.001186967,0.0007394268],"domain_scores_gemma":[0.9669634,0.01505393,0.003809669,0.007041365,0.002639935,0.004491653],"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":[0.002595745,0.02750135,0.02954721,0.001438808,0.0001485817,0.001261145,0.03966029,0.01134084,0.1470744,0.004180191,0.003814716,0.7314368],"study_design_scores_gemma":[0.004366925,0.1199509,0.1427348,0.002030287,0.0007108582,0.003884992,0.05261436,0.0496072,0.4285663,0.01950529,0.1748447,0.001183205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169151,0.0001247084,0.07438824,0.0004453282,0.00008010503,0.003113783,0.00007288786,0.0009097062,0.003950093],"genre_scores_gemma":[0.7027766,0.0002204575,0.2890462,0.0004503806,0.00004059763,0.002870168,0.0002036651,0.0001045078,0.004287392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01814852,"threshold_uncertainty_score":0.09597975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04817257329493763,"score_gpt":0.3575467936410828,"score_spread":0.3093742203461452,"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."}}