{"id":"W2885603585","doi":"10.1145/3185065","title":"Automatics","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Computer-Human Interaction","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Rheumatology Association; University of Toronto","funders":"","keywords":"Computer science; Context (archaeology); Set (abstract data type); Resource (disambiguation)","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":[0.00004401643,0.0001555185,0.0001131552,0.0001918045,0.0002400307,0.00009773358,0.0001845955,0.00007347064,0.0006726949],"category_scores_gemma":[0.000002481348,0.0001646252,0.00005913081,0.0001246882,0.00002932879,0.0002947997,0.000004164075,0.0002034097,0.0002213105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009544191,"about_ca_system_score_gemma":0.000004782397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001172139,"about_ca_topic_score_gemma":0.00002942716,"domain_scores_codex":[0.9993114,0.00001443759,0.0002226466,0.0001704557,0.000119748,0.0001613428],"domain_scores_gemma":[0.9994597,0.00004370056,0.00003540193,0.0003465226,0.00006204713,0.00005266857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002024983,0.0001552076,0.000009662003,0.0001214735,0.0001150048,0.000002645807,0.0009707648,0.6576799,0.0007569702,0.0001476455,0.002639659,0.3373809],"study_design_scores_gemma":[0.0003482157,0.0003342937,0.0006548216,0.0001130905,0.00003037252,0.00002290713,0.00003237689,0.9510757,0.03472891,0.0007119082,0.01163159,0.0003157767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06456544,0.000003858462,0.930431,0.00004637589,0.00207589,0.00009775957,0.000003450725,0.0009135799,0.001862652],"genre_scores_gemma":[0.9763595,0.00001194116,0.02287409,0.00008611429,0.0003951867,0.00001803275,0.00001113283,0.00003487924,0.0002091681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.911794,"threshold_uncertainty_score":0.7365538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705949050461307,"score_gpt":0.2587086678876467,"score_spread":0.2416491773830336,"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."}}