{"id":"W4416668291","doi":"10.5772/intechopen.1012593","title":"Supplementing AI “Curriculum” Using Teachers Pay Teachers Resources: What There Is and What There Isn’t","year":2025,"lang":"en","type":"book-chapter","venue":"Artificial intelligence","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mount Saint Vincent University","keywords":"Curriculum; Payment; Quality (philosophy); Resource (disambiguation); Professional development; Educational resources; Faculty development; Curriculum development","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002353238,0.0003183736,0.0003570506,0.003248025,0.001631025,0.00451703,0.0008093933,0.0006634119,0.005961521],"category_scores_gemma":[0.01873348,0.0004003883,0.0003517917,0.003453525,0.0014387,0.005895446,0.002305855,0.0007671871,0.001145192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002767398,"about_ca_system_score_gemma":0.004591494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435861,"about_ca_topic_score_gemma":0.03213122,"domain_scores_codex":[0.9965963,0.00123113,0.0002879717,0.0003049959,0.001136648,0.0004429971],"domain_scores_gemma":[0.9840819,0.005752551,0.004236852,0.001626999,0.00282598,0.001475739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002627166,0.001825015,0.5136612,0.0007138208,0.00006046493,0.0004636668,0.04021817,0.0005988752,0.0029857,0.009633356,0.01132043,0.4182566],"study_design_scores_gemma":[0.00005431054,0.0005386845,0.8205116,0.000748169,0.0001054098,0.0004941022,0.08053558,0.001357744,0.00459551,0.002899793,0.08808517,0.00007393726],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657871,0.00053559,0.001236885,0.00186332,0.00003369916,0.0001221703,0.0003816433,0.00007088606,0.02996877],"genre_scores_gemma":[0.9900181,0.0005529397,0.003949939,0.0003744107,0.00002470522,0.0001326305,0.0004987454,0.00003642573,0.00441202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435861,"threshold_uncertainty_score":0.02855009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135439542539012,"score_gpt":0.3043964227643723,"score_spread":0.2630420273389822,"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."}}