{"id":"W2809239264","doi":"10.1145/3231644.3231682","title":"An active viewing framework for video-based learning","year":2018,"lang":"en","type":"article","venue":"","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Computer science; Active learning (machine learning); Multimedia; Constructive; Interactive video; Situated; Human–computer interaction; Artificial intelligence; Process (computing)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002975789,0.0008971628,0.0003032919,0.001514549,0.001334582,0.003177011,0.002470399,0.00154277,0.006509651],"category_scores_gemma":[0.003891136,0.0003224688,0.0007414857,0.0006761531,0.005644389,0.003743003,0.002385299,0.002147731,0.0008710274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154107,"about_ca_system_score_gemma":0.002157577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806197,"about_ca_topic_score_gemma":0.004458244,"domain_scores_codex":[0.9976792,0.001345522,0.0001021823,0.0003315586,0.0003920349,0.0001496063],"domain_scores_gemma":[0.9973722,0.001526898,0.0002411423,0.0002579398,0.0003447427,0.000257044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007026402,0.0004021086,0.001790624,0.0004239878,0.0000172753,0.0001949773,0.01323676,0.002935406,0.008219786,0.8842373,0.002420744,0.08605077],"study_design_scores_gemma":[0.00018585,0.001157356,0.008691751,0.001311793,0.000132991,0.001336323,0.01255045,0.06815966,0.01089868,0.5633889,0.3319685,0.0002178396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01984005,0.001122974,0.9062904,0.001714794,0.0002004636,0.0009776086,0.0001550426,0.0003743576,0.06932436],"genre_scores_gemma":[0.3579512,0.0008829042,0.6247944,0.00042788,0.0001315253,0.003218661,0.0001793869,0.000141749,0.01227236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006509651,"threshold_uncertainty_score":0.02177697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113785952596561,"score_gpt":0.4959408694810397,"score_spread":0.3845622742213836,"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."}}