{"id":"W4388194842","doi":"10.22318/cscl2023.140516","title":"MathCHOPS: A Platform for Developing Collaborative Higher Order Problem Solving in Mathematics","year":2023,"lang":"en","type":"article","venue":"Computer-supported collaborative learning/˜The œComputer-Supported Collaborative Learning Conference","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Order (exchange); Mathematics education; Applied mathematics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.009673026,0.002545845,0.003132637,0.002268519,0.003236727,0.001785281,0.002440316,0.001443119,0.0009040303],"category_scores_gemma":[0.001635148,0.002315914,0.0003943694,0.02406068,0.001274531,0.001214346,0.001113722,0.006174511,0.0008739486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000976053,"about_ca_system_score_gemma":0.005100372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317565,"about_ca_topic_score_gemma":0.0002180876,"domain_scores_codex":[0.9801585,0.006946622,0.003663587,0.003699637,0.001810205,0.003721419],"domain_scores_gemma":[0.975751,0.00804095,0.003765353,0.001590022,0.0103153,0.0005373554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00295712,0.002276967,0.02655933,0.001406597,0.005920574,0.002262322,0.3816233,0.09819234,0.004145109,0.1366989,0.1443334,0.1936241],"study_design_scores_gemma":[0.01353645,0.007734318,0.04330063,0.002308255,0.0004878912,0.000147456,0.05114019,0.3350128,0.0005201196,0.006345656,0.5330478,0.006418414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1595308,0.0003560864,0.8004382,0.00381681,0.01323507,0.008828291,0.0002880073,0.004143864,0.009362892],"genre_scores_gemma":[0.4727645,0.0001867801,0.4825234,0.001288495,0.007847317,0.00441649,0.002542433,0.001076524,0.02735406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3887145,"threshold_uncertainty_score":0.999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04957685368528456,"score_gpt":0.3481013998050938,"score_spread":0.2985245461198092,"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."}}