{"id":"W2500341287","doi":"10.1016/j.jmathb.2016.07.002","title":"Folding back, thickening and mathematical met-befores","year":2016,"lang":"en","type":"article","venue":"The Journal of Mathematical Behavior","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; York University","funders":"Canadian Council on Learning","keywords":"Class (philosophy); Mathematics education; Space (punctuation); Action (physics); Folding (DSP implementation); Action research; Thickening; Computer science; Epistemology; Pedagogy; Mathematics; Psychology; Artificial intelligence; Physics; Engineering; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001951635,0.0003941036,0.0003671626,0.0009659886,0.002080261,0.00239269,0.0005206041,0.001021096,0.01047783],"category_scores_gemma":[0.01411763,0.0003237382,0.0004390508,0.0006700934,0.004490865,0.00379794,0.002314794,0.001646714,0.0007005302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005194222,"about_ca_system_score_gemma":0.0004735303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004956753,"about_ca_topic_score_gemma":0.0005077167,"domain_scores_codex":[0.9990249,0.000436909,0.00004738965,0.0001162242,0.0002040976,0.0001705106],"domain_scores_gemma":[0.9938328,0.002509287,0.0008491355,0.00161466,0.0006011114,0.0005930155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00113087,0.0003622879,0.0246646,0.0001787021,0.00004203904,0.0009265206,0.02716083,0.004458027,0.01870062,0.7918025,0.002017405,0.1285555],"study_design_scores_gemma":[0.00006703271,0.0006712719,0.04957163,0.0002326431,0.0001096341,0.001849399,0.01929637,0.01235032,0.01144189,0.8724475,0.03188077,0.00008162289],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8845323,0.0003737204,0.02575952,0.0008992454,0.0001144194,0.00002355757,0.00002784642,0.0001403363,0.088129],"genre_scores_gemma":[0.9910066,0.00006610351,0.004129058,0.00003938036,0.00001221438,0.000005458593,0.00001448736,0.00003220101,0.004694536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047783,"threshold_uncertainty_score":0.03505188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05708113763113182,"score_gpt":0.3713390999630927,"score_spread":0.3142579623319609,"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."}}