{"id":"W2145930572","doi":"10.1145/1449715.1449740","title":"ILoveSketch","year":2008,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":292,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sketch; Computer science; Affordance; Selection (genetic algorithm); Process (computing); Human–computer interaction; Gesture; Artificial intelligence; Algorithm; Programming language","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":[0.0005465923,0.001053401,0.0006556616,0.001394028,0.0008910695,0.00303598,0.001268356,0.001189215,0.09277266],"category_scores_gemma":[0.001862022,0.0005420442,0.0005951878,0.0009135115,0.0007050934,0.003195992,0.003507139,0.001642456,0.02912121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004425961,"about_ca_system_score_gemma":0.00103171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101705,"about_ca_topic_score_gemma":0.001393869,"domain_scores_codex":[0.9990709,0.00007364655,0.00004366556,0.0001681608,0.0005266377,0.0001168738],"domain_scores_gemma":[0.9991315,0.0001722,0.00003401591,0.0002761012,0.0002077697,0.000178384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006810313,0.0001483118,0.001485127,0.0008131405,0.00003483789,0.0006663334,0.001075922,0.004199303,0.036759,0.03216777,0.09442686,0.8275424],"study_design_scores_gemma":[0.0000923781,0.0002542096,0.001869084,0.0001724985,0.00004927819,0.001881295,0.0001948488,0.01664678,0.03307627,0.008923851,0.9366747,0.0001648163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03427364,0.004881821,0.5649025,0.001101893,0.001333306,0.0004049239,0.002700067,0.1020891,0.2883127],"genre_scores_gemma":[0.2414966,0.004900461,0.3715279,0.0009300765,0.0004513422,0.0005133278,0.008430353,0.01022092,0.3615291],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09277266,"threshold_uncertainty_score":0.3103555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197129750321678,"score_gpt":0.2286805953785883,"score_spread":0.2089676203464205,"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."}}