{"id":"W2124759041","doi":"10.1145/1056808.1056912","title":"User strategies for handling information tasks in webcasts","year":2005,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Webcast; Computer science; Timeline; Metadata; Multimedia; Interactivity; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002734933,0.00002621249,0.00004166023,0.0000806649,0.0001063526,0.00005042659,0.0001495936,0.00006885226,0.0001715289],"category_scores_gemma":[0.0001070869,0.00002481776,0.00001244384,0.00009970246,0.00005614795,0.0006480658,0.00001675797,0.00004969096,0.00006261313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003288618,"about_ca_system_score_gemma":0.00008194015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007661498,"about_ca_topic_score_gemma":0.02959852,"domain_scores_codex":[0.9996713,0.00002041155,0.0001124579,0.00003190757,0.00005728384,0.0001066496],"domain_scores_gemma":[0.9997455,0.00007943526,0.00002899115,0.00008949312,0.00003900331,0.00001753156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003806536,0.00001568298,0.0008274958,0.000002289432,0.000001515838,1.735116e-8,0.009886957,0.00004938678,0.00002805738,0.8644831,0.001179829,0.1235218],"study_design_scores_gemma":[0.0002954728,0.000006119997,0.0006296998,0.000003401109,7.725505e-7,6.736984e-8,0.01560849,0.003335274,0.0001101235,0.004156965,0.9758049,0.00004877478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2828501,0.0001259353,0.04474192,0.04892452,0.0002475737,0.001075279,0.000004685918,0.000578044,0.6214519],"genre_scores_gemma":[0.9860607,0.00004316389,0.01305548,0.0003248585,0.00002818261,0.00003310597,0.000005090973,0.000001241767,0.0004481961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.974625,"threshold_uncertainty_score":0.9881088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484895312264309,"score_gpt":0.3566195909181253,"score_spread":0.3217706377954823,"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."}}