{"id":"W2950836117","doi":"10.1145/3301019.3325147","title":"Chronoscope","year":2019,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Curiosity; Metadata; Computer science; Scope (computer science); Multimedia; World Wide Web; Reflection (computer programming); Feature (linguistics); Human–computer interaction","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":[0.002001598,0.0007511897,0.0004694996,0.002369799,0.001861135,0.004087551,0.001369168,0.001194692,0.2332015],"category_scores_gemma":[0.006550203,0.0005447834,0.0005188668,0.002180766,0.0008008616,0.004389301,0.003186634,0.001546794,0.06557851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009360313,"about_ca_system_score_gemma":0.002322191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003272993,"about_ca_topic_score_gemma":0.008143988,"domain_scores_codex":[0.9988915,0.0002359851,0.00006613233,0.000273764,0.0004247072,0.0001079602],"domain_scores_gemma":[0.9962561,0.0008370831,0.0001840699,0.0008880464,0.001222729,0.0006119096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009670802,0.00009849027,0.001996396,0.001125143,0.00002725605,0.0004436276,0.00306041,0.0003671589,0.006024538,0.05980894,0.7156832,0.2103978],"study_design_scores_gemma":[0.00003694832,0.00003701257,0.0005014943,0.00009807361,0.000009773174,0.0002200509,0.0002835717,0.0003567143,0.001295226,0.001856538,0.9952833,0.0000213133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01308847,0.002396402,0.08027697,0.002826716,0.004252499,0.001404399,0.0277601,0.06845802,0.7995364],"genre_scores_gemma":[0.1181468,0.002730621,0.1749477,0.002795179,0.001443195,0.002980625,0.03436657,0.02652145,0.6360679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2332015,"threshold_uncertainty_score":0.7801368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005182215457229726,"score_gpt":0.2294211941223365,"score_spread":0.2242389786651068,"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."}}