{"id":"W2924650510","doi":"10.22460/jiml.v1i3.p218-224","title":"Improving the Capabilities of Strategic Competence and Mathematical Disposition Using the Inquiri Model of Alberta Method","year":2018,"lang":"en","type":"article","venue":"(JIML) JOURNAL OF INNOVATIVE MATHEMATICS LEARNING","topic":"Mathematics Education and Pedagogy","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disposition; Competence (human resources); Mathematics education; Data collection; Psychology; Computer science; Mathematics; Social psychology; Statistics","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":[0.00484931,0.000294681,0.0008179752,0.0002460697,0.0003054352,0.00007558998,0.0005059761,0.0001117228,0.000140435],"category_scores_gemma":[0.003399298,0.0001684215,0.0001434274,0.0006286651,0.001088526,0.0002130255,0.0001660237,0.0006527525,0.000001621534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006047111,"about_ca_system_score_gemma":0.0003507803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002390414,"about_ca_topic_score_gemma":0.000009700419,"domain_scores_codex":[0.9964933,0.000437294,0.001938981,0.0001745261,0.0006683288,0.0002875096],"domain_scores_gemma":[0.9887501,0.005089269,0.003434163,0.0004378073,0.002222642,0.00006599499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004043547,0.0003036177,0.0001229947,0.002141536,0.0001788499,7.243966e-7,0.0958323,0.0008033682,0.04080976,0.8593833,0.0000266986,0.00035644],"study_design_scores_gemma":[0.000402027,0.0002978013,0.00001618915,0.0008730689,0.0001572292,0.0002424633,0.05607786,0.3578267,0.01121701,0.5726985,0.000004720784,0.0001864094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.529196,0.00003725784,0.4684481,0.0001763961,0.0000584837,0.0002260105,0.000002650148,0.000006630155,0.001848468],"genre_scores_gemma":[0.7183895,0.000006872748,0.2812497,0.00002952332,0.00009677652,0.000004618045,5.77844e-7,0.00003410346,0.0001883939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3570233,"threshold_uncertainty_score":0.6868029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1819214991706299,"score_gpt":0.40679043724088,"score_spread":0.2248689380702501,"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."}}