{"id":"W4413200751","doi":"10.3102/ip.25.2232995","title":"Teaching Efficacy: Unravelling Multidimensionality across Diverse Educational Contexts (Poster 34): Division D - Section 2: Quantitative Methods and Statistical Theory, Stage 1, 8:48 AM","year":2025,"lang":"en","type":"article","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Division (mathematics); Section (typography); Computer science; Stage (stratigraphy); Mathematics education; Data science; Psychology; Mathematics; Geology","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":[0.02274214,0.0003177777,0.0006821725,0.002001744,0.001531908,0.005285338,0.0009148411,0.001038437,0.009558347],"category_scores_gemma":[0.05626763,0.0004808992,0.000717776,0.001580209,0.001290036,0.002582137,0.004663161,0.003298509,0.001595267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011143,"about_ca_system_score_gemma":0.002668034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053353,"about_ca_topic_score_gemma":0.003921167,"domain_scores_codex":[0.9951776,0.002296868,0.0002940529,0.0006359233,0.001304449,0.0002909226],"domain_scores_gemma":[0.9561826,0.03033438,0.003255848,0.002801729,0.004959512,0.00246589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000519,0.001614673,0.3868035,0.001239433,0.0002410643,0.00009950177,0.03924168,0.0002855295,0.005504558,0.02240516,0.03333035,0.5087155],"study_design_scores_gemma":[0.00006399833,0.0005469598,0.9437439,0.0009412545,0.0001484536,0.0001120029,0.0154794,0.0009668903,0.003093387,0.01643003,0.01838587,0.00008791702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8727009,0.002629643,0.05207758,0.01983344,0.001629112,0.002176383,0.002221369,0.0005498313,0.0461818],"genre_scores_gemma":[0.9579076,0.0009677428,0.02782622,0.0008889384,0.0002831573,0.003673709,0.0005471075,0.000167457,0.007738053],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02274214,"threshold_uncertainty_score":0.1202734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744406374720401,"score_gpt":0.5425391858846903,"score_spread":0.3680985484126502,"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."}}