{"id":"W2788299440","doi":"10.36510/learnland.v6i2.603","title":"Commentary: At the Evolving Intersection of Teaching and Technology","year":2013,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curiosity; Intersection (aeronautics); Point (geometry); Mathematics education; Key (lock); Sociology; Psychology; Pedagogy; Computer science; Engineering; Social psychology; Computer security; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002097679,0.000109872,0.0001632584,0.0001784324,0.0005096266,0.00002705428,0.0001225109,0.00009690288,0.001110105],"category_scores_gemma":[0.000636766,0.00007475341,0.00002760938,0.0001781401,0.0001130696,0.00006227658,0.0001224751,0.001183664,0.00006415791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002940895,"about_ca_system_score_gemma":0.000003313496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008363169,"about_ca_topic_score_gemma":0.00002203062,"domain_scores_codex":[0.9976658,0.001664482,0.0001876516,0.0001989357,0.00008083416,0.0002023463],"domain_scores_gemma":[0.9988365,0.0007448242,0.0001689399,0.000176838,0.00005378285,0.00001918551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004118426,0.00005120425,0.7520879,0.00002229001,0.0001539273,0.000001945317,0.02181346,0.00006667105,0.01773722,0.003494796,0.02586974,0.1786597],"study_design_scores_gemma":[0.00166911,0.001019721,0.7006152,0.0002268489,0.00008688844,0.0001965915,0.04462026,0.003827551,0.001217543,0.001900049,0.2440747,0.000545547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726375,0.0003559522,0.001530896,0.005769049,0.0002394136,0.0001112297,3.72378e-7,0.0001342269,0.01922131],"genre_scores_gemma":[0.9938072,0.000001695467,0.001488684,0.0003013706,0.00008162193,0.00002438949,0.000005966085,0.00001819337,0.004270886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.218205,"threshold_uncertainty_score":0.999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286113607452844,"score_gpt":0.3079384667071478,"score_spread":0.2950773306326194,"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."}}