{"id":"W2073955455","doi":"10.1145/2460625.2460672","title":"C4","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Singapore-MIT Alliance for Research and Technology Centre; Alberta Innovates - Technology Futures","keywords":"Computer science; Interactivity; Human–computer interaction; Architecture; Multimedia; Graphics; Coding (social sciences); Class (philosophy); Programming language; Space (punctuation); Computer graphics (images); Artificial intelligence; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001157177,0.001233352,0.0006644166,0.001989196,0.002283114,0.004131601,0.002791052,0.001998928,0.3558349],"category_scores_gemma":[0.005403398,0.0004202708,0.001010432,0.001676887,0.001201651,0.003273634,0.00321884,0.00164433,0.2073448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589853,"about_ca_system_score_gemma":0.003128108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00902734,"about_ca_topic_score_gemma":0.007950783,"domain_scores_codex":[0.9979019,0.0002183425,0.0001219118,0.0005265347,0.0008906645,0.0003406605],"domain_scores_gemma":[0.9974403,0.0003437182,0.00008044591,0.0006783977,0.001275295,0.0001818381],"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":[0.0004693455,0.0001151708,0.001184897,0.0005179035,0.00004019396,0.0003315942,0.0002059413,0.004138128,0.006528857,0.274421,0.409293,0.3027539],"study_design_scores_gemma":[0.00004234212,0.00003858903,0.0003630216,0.0000948656,0.00001444149,0.0002980424,0.00009868235,0.007714197,0.005947685,0.03882286,0.9465227,0.00004263159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00484092,0.0004915997,0.1954239,0.002232491,0.00219625,0.0005913471,0.00606961,0.01605175,0.7721021],"genre_scores_gemma":[0.07712181,0.0008450642,0.1657618,0.003053637,0.0005686723,0.0008372867,0.01708642,0.00971955,0.7250058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6441651,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961455115241465,"score_gpt":0.2784666106361957,"score_spread":0.258852059483781,"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."}}