{"id":"W3217077386","doi":"10.1109/iccvw54120.2021.00276","title":"Supporting Reference Imagery for Digital Drawing","year":2021,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Workflow; Process (computing); Reference model; Transparency (behavior); Task (project management); Human–computer interaction; Digital reference; Interface (matter); Multimedia; Database","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":[0.003729742,0.0007857236,0.0002765887,0.001233696,0.0009962627,0.003723727,0.00194823,0.001422313,0.01067868],"category_scores_gemma":[0.02520495,0.0004552454,0.0005198801,0.001087479,0.002486643,0.006071724,0.00536822,0.001154203,0.001896818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006254948,"about_ca_system_score_gemma":0.0007808406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005912932,"about_ca_topic_score_gemma":0.001135142,"domain_scores_codex":[0.9968057,0.001884059,0.0001620259,0.0003335664,0.0005642513,0.0002504683],"domain_scores_gemma":[0.9891986,0.007038833,0.0005026676,0.002259954,0.0006792651,0.0003206159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004948286,0.0001891955,0.00458008,0.002166393,0.00003142688,0.001791167,0.1644579,0.004076431,0.1095065,0.09603648,0.007753699,0.6089159],"study_design_scores_gemma":[0.0002563942,0.001037067,0.01155271,0.002691854,0.0001561418,0.006668224,0.07491196,0.04018167,0.1093356,0.1125407,0.6402732,0.000394508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2341726,0.001008363,0.6939473,0.001815212,0.0001405049,0.0004409732,0.0001669449,0.003867989,0.06444012],"genre_scores_gemma":[0.6553582,0.0005246553,0.3339468,0.0002874109,0.00004185764,0.0003313077,0.0001572356,0.0004761504,0.008876285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01067868,"threshold_uncertainty_score":0.03572375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522673466060435,"score_gpt":0.3131962666769836,"score_spread":0.2879695320163792,"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."}}