{"id":"W2275392574","doi":"","title":"YouTube Videos in the Pre-service Science Teacher Classroom: Increasing Awareness of the TPACK Intersections One Clip at a Time","year":2012,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Service (business); Mathematics education; Multimedia; Psychology; Business","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":[0.0002283912,0.0002703753,0.0001725281,0.0005774898,0.001245801,0.0008237848,0.0004452447,0.0006570528,0.0245278],"category_scores_gemma":[0.00224071,0.0001277349,0.0001066004,0.0004103768,0.0002124972,0.001226273,0.001089892,0.0007949031,0.00315188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000411641,"about_ca_system_score_gemma":0.000581956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399066,"about_ca_topic_score_gemma":0.09215819,"domain_scores_codex":[0.9998416,0.00003477863,0.000005515972,0.00002775019,0.00004224093,0.00004815002],"domain_scores_gemma":[0.9990963,0.0002573754,0.00006410346,0.00002933216,0.0001798556,0.0003730902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001831446,0.002609416,0.06741139,0.001245365,0.00005879458,0.002050809,0.06938827,0.0004238081,0.02358748,0.001509974,0.5753865,0.2544968],"study_design_scores_gemma":[0.0002660247,0.001611228,0.3772493,0.001076215,0.0001350102,0.0009366471,0.1698717,0.002902017,0.01200678,0.001605851,0.4321817,0.0001576244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440855,0.0003508244,0.001356835,0.005708581,0.0007137157,0.0004597866,0.00636237,0.0006988186,0.1402637],"genre_scores_gemma":[0.918416,0.0009225003,0.005303712,0.002075915,0.0003936979,0.0006115673,0.004844893,0.0003364751,0.06709525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0245278,"threshold_uncertainty_score":0.0820536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166434284695215,"score_gpt":0.35111191975159,"score_spread":0.3194475769046378,"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."}}