{"id":"W2623352842","doi":"10.1145/3064857.3079122","title":"Time-Turner","year":2017,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Situated; Computer science; Visualization; Human–computer interaction; Space (punctuation); Multimedia; Data visualization; Artificial intelligence","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":[0.0009517332,0.0006019432,0.0002810897,0.0004948194,0.0009384947,0.002508624,0.0008868399,0.000815366,0.08147828],"category_scores_gemma":[0.003879981,0.0003374582,0.0005109895,0.0003942416,0.0006882417,0.002569514,0.002260091,0.0009232207,0.009061783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005442324,"about_ca_system_score_gemma":0.000997294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00162529,"about_ca_topic_score_gemma":0.002958259,"domain_scores_codex":[0.9992273,0.0001834998,0.00003864315,0.0001721963,0.0003099669,0.00006845734],"domain_scores_gemma":[0.9985379,0.0004118193,0.00007783571,0.0003105875,0.0003520938,0.0003097197],"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":[0.001101492,0.0002414423,0.002947085,0.00119825,0.00004848074,0.0009198489,0.01272641,0.002411431,0.05669947,0.1648489,0.2063848,0.5504723],"study_design_scores_gemma":[0.0000840121,0.0002274052,0.001486429,0.0001819894,0.00003608288,0.0009557101,0.001117704,0.003325121,0.01134144,0.01129053,0.9698883,0.00006525595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05684422,0.00157333,0.4637182,0.00292884,0.00195095,0.0009488259,0.003358761,0.02707477,0.4416021],"genre_scores_gemma":[0.276522,0.001745343,0.3398786,0.001173993,0.0002293557,0.00152543,0.003634223,0.00743316,0.3678578],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08147828,"threshold_uncertainty_score":0.272572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117041087946281,"score_gpt":0.2960769912714954,"score_spread":0.2749065803920326,"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."}}