{"id":"W4292746083","doi":"10.3102/1432847","title":"Teachers Learning Through Co-Planning and Teaching in a Reciprocal Learning Context Between Canada and China ","year":2019,"lang":"en","type":"article","venue":"Proceedings of the 2019 AERA Annual Meeting","topic":"Collaborative Teaching and Inclusion","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reciprocal; Context (archaeology); China; Mathematics education; Computer science; Psychology; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002233883,0.0002687899,0.0004042928,0.0007947247,0.02235056,0.00666518,0.001256404,0.0008966799,0.005447629],"category_scores_gemma":[0.003744757,0.0002598996,0.000264746,0.001889661,0.005665874,0.0018825,0.005220896,0.001774738,0.0003103417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05888972,"about_ca_system_score_gemma":0.1704942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.939118,"about_ca_topic_score_gemma":0.9817856,"domain_scores_codex":[0.9970654,0.001123638,0.00007494856,0.0003240087,0.0004721376,0.0009398311],"domain_scores_gemma":[0.9955249,0.0009588008,0.0002722144,0.0001595277,0.0006763786,0.002408077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004250403,0.0006379659,0.07257944,0.000204406,0.00004953754,0.0027426,0.7791004,0.001998762,0.001860803,0.05076048,0.00962321,0.08001733],"study_design_scores_gemma":[0.00008945307,0.0001418386,0.0523273,0.0002065391,0.00006998609,0.0001513884,0.8520253,0.001843903,0.0009965578,0.003336022,0.08873283,0.00007884417],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558094,0.0002931774,0.0004757096,0.002434129,0.00003623655,0.00005828542,0.00003527195,0.00002158077,0.04083628],"genre_scores_gemma":[0.9928778,0.00009655732,0.0002714699,0.00006095825,0.000002307204,0.00001853987,0.00001187867,0.000004775931,0.006655701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06088197,"threshold_uncertainty_score":0.4272768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009764077182375538,"score_gpt":0.2862459796938993,"score_spread":0.2764819025115238,"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."}}