{"id":"W2556063526","doi":"10.1145/2992154.2992156","title":"Felines, Foragers, and Physicists","year":2016,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Outreach; Software deployment; Event (particle physics); Computer science; Process (computing); Engineering management; Architectural engineering; Engineering; Software engineering; Physics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005918077,0.00005199365,0.00004954879,0.00006517854,0.00004111923,0.00002592743,0.0001982043,0.00002924331,0.000020962],"category_scores_gemma":[0.00002204624,0.00003086155,0.000009431493,0.0001244778,0.00004824824,0.0004877585,0.0001169972,0.00003712223,0.0001229062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001797723,"about_ca_system_score_gemma":0.000006724176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003741661,"about_ca_topic_score_gemma":0.000003446139,"domain_scores_codex":[0.999598,0.00000822444,0.00007270781,0.0001681061,0.0000541725,0.00009882623],"domain_scores_gemma":[0.9996389,0.00003579191,0.00003216102,0.0002135566,0.00006860295,0.00001100676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001444149,0.00001172817,0.0003316661,0.000001339447,0.000005626795,0.000003577177,0.00004058451,3.118311e-8,0.05149499,0.7511728,0.00595743,0.1909788],"study_design_scores_gemma":[0.001427774,0.0003031878,0.01734357,0.00008087757,0.000005199765,0.0001521147,0.00005461143,0.004148174,0.6102265,0.2652682,0.1003641,0.0006256613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08464526,0.00001028801,0.9020002,0.00595468,0.0002137933,0.00004799523,3.313876e-7,0.0002724075,0.006855018],"genre_scores_gemma":[0.9829253,0.000003252532,0.01390999,0.0004550517,0.00003682591,0.000004733566,1.49773e-7,0.00000264467,0.002662027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8982801,"threshold_uncertainty_score":0.1579751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008378978792688242,"score_gpt":0.2311025761384858,"score_spread":0.2227235973457976,"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."}}