{"id":"W3025050556","doi":"10.33137/jaste.v11i1.34249","title":"Noise in Classrooms","year":2020,"lang":"en","type":"article","venue":"Journal for Activist Science and Technology Education","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Noise (video); Psychology; Action (physics); Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001037846,0.0005264874,0.0006360739,0.001177493,0.004248583,0.006587697,0.0008884523,0.001400315,0.01996175],"category_scores_gemma":[0.004409437,0.0003040675,0.000511937,0.0009316235,0.00283189,0.002482331,0.004953661,0.001575242,0.003540262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339704,"about_ca_system_score_gemma":0.002274355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00886692,"about_ca_topic_score_gemma":0.01774546,"domain_scores_codex":[0.9963759,0.0008838683,0.0001807396,0.0004846946,0.001657337,0.0004174935],"domain_scores_gemma":[0.9971927,0.0005479064,0.0006377386,0.0002278938,0.0007255612,0.0006681742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003496023,0.0006780436,0.09084272,0.003029288,0.0001823815,0.002233541,0.08828124,0.001841951,0.01705882,0.1217621,0.1012545,0.5724859],"study_design_scores_gemma":[0.00002396387,0.0003708291,0.08151795,0.002193736,0.00009438963,0.00160813,0.0674471,0.0003080053,0.002788279,0.02180996,0.8217038,0.0001339068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3731304,0.02351457,0.0240088,0.01741251,0.004304856,0.0002425357,0.001105336,0.0009271149,0.5553539],"genre_scores_gemma":[0.9067122,0.009100074,0.006950067,0.003406098,0.0005522109,0.0001533747,0.0004250156,0.0002007772,0.07250007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01996175,"threshold_uncertainty_score":0.06677866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509246706459301,"score_gpt":0.3753940465478664,"score_spread":0.3503015794832734,"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."}}