{"id":"W3155832955","doi":"10.1145/3449132","title":"StreamSketch","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Digital Games and Media","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affordance; Interactivity; Computer science; Multimedia; Live streaming; Modality (human–computer interaction); Key (lock); Modalities; Human–computer interaction; Process (computing); Space (punctuation); Formative assessment; World Wide Web; Psychology; Sociology","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":[0.001347614,0.001468746,0.0007390016,0.001777733,0.001057783,0.002924417,0.00215064,0.001255995,0.1819319],"category_scores_gemma":[0.005835674,0.0007835582,0.0008793598,0.001067127,0.0008570273,0.004689036,0.005491318,0.001695115,0.05830938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005841235,"about_ca_system_score_gemma":0.001256222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560233,"about_ca_topic_score_gemma":0.002709013,"domain_scores_codex":[0.9990652,0.000135367,0.00006501059,0.0002083613,0.0004016767,0.0001243167],"domain_scores_gemma":[0.9979256,0.0006553082,0.00008992406,0.0005014467,0.0005141891,0.0003134596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003454956,0.0003368957,0.002321282,0.002518164,0.0001060797,0.0009268905,0.002935629,0.002048829,0.03295005,0.03060838,0.4710974,0.4506953],"study_design_scores_gemma":[0.0004555391,0.0004125336,0.002914769,0.0003670464,0.00007661503,0.0007740195,0.000618739,0.009404715,0.02032877,0.01469089,0.9497997,0.0001566988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.03622407,0.003001541,0.2928359,0.001448971,0.002064615,0.003442317,0.03137938,0.3177678,0.3118354],"genre_scores_gemma":[0.1831614,0.003659927,0.2068568,0.001635341,0.000831644,0.004689994,0.06607742,0.0650483,0.4680393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1819319,"threshold_uncertainty_score":0.6086229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05995711704533049,"score_gpt":0.356367323382279,"score_spread":0.2964102063369485,"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."}}