{"id":"W2245841132","doi":"","title":"Automated data analysis to support teacher's knowledge building practice","year":2011,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Data science; Knowledge management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006546775,0.0006702333,0.0007811249,0.005509326,0.0006609389,0.002387263,0.001026657,0.0006637833,0.005059175],"category_scores_gemma":[0.0422284,0.0003911028,0.0005056464,0.003832263,0.0003989173,0.00156025,0.001290156,0.0009412065,0.002053086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008937628,"about_ca_system_score_gemma":0.002555308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003951971,"about_ca_topic_score_gemma":0.005194922,"domain_scores_codex":[0.9923274,0.004015112,0.0008115054,0.0009882234,0.001645066,0.0002126339],"domain_scores_gemma":[0.9273769,0.05367903,0.003258598,0.006657576,0.008398946,0.0006289365],"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":[0.001324871,0.001045229,0.06743432,0.0008118788,0.000356634,0.0002635106,0.001925705,0.01202989,0.01860226,0.005970315,0.03127857,0.8589568],"study_design_scores_gemma":[0.0003703718,0.000709635,0.1030717,0.0004403588,0.0003550585,0.0005144569,0.002430878,0.7675554,0.05140877,0.02912357,0.04383332,0.0001865338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2042733,0.0005510616,0.7424024,0.001955468,0.000344665,0.002194357,0.01317207,0.02715542,0.007951304],"genre_scores_gemma":[0.5685504,0.0001833153,0.4200097,0.0001944821,0.0001071667,0.001925729,0.006129352,0.0003943935,0.002505436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006546775,"threshold_uncertainty_score":0.03462309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1110726878459455,"score_gpt":0.4422019003724382,"score_spread":0.3311292125264927,"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."}}