{"id":"W2160167197","doi":"10.48550/arxiv.1002.4392","title":"Complete Context Calculus Design and Implementation in GIPSY","year":2010,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Context (archaeology); Computer science; Calculus (dental); Java; Programming language; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003729989,0.0006380776,0.0008573581,0.0008902641,0.001205504,0.004302269,0.002371547,0.001338589,0.006020079],"category_scores_gemma":[0.005303334,0.00109406,0.001621822,0.0007704969,0.002793379,0.004860431,0.004313918,0.003553275,0.002378399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477999,"about_ca_system_score_gemma":0.002517424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559789,"about_ca_topic_score_gemma":0.002919836,"domain_scores_codex":[0.9969122,0.0008199151,0.000205792,0.0005013862,0.001218388,0.0003422442],"domain_scores_gemma":[0.9987249,0.0003756752,0.00006743932,0.0004755016,0.000265665,0.00009097881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001802332,0.00006669814,0.000632451,0.0003083541,0.00007610137,0.0004213671,0.001338145,0.01303924,0.009773018,0.9043057,0.004722483,0.06513625],"study_design_scores_gemma":[0.0001554697,0.0001752037,0.0006249507,0.0003296909,0.0001973939,0.0004739928,0.0003303964,0.1391149,0.03126281,0.5791175,0.2480872,0.000130447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005487225,0.0001689705,0.9817303,0.0002282861,0.0001069776,0.000140682,0.00009032158,0.005283302,0.006763881],"genre_scores_gemma":[0.1909215,0.0004853953,0.7929255,0.0005112999,0.0001432445,0.0005952714,0.000425597,0.002129052,0.01186305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006020079,"threshold_uncertainty_score":0.02013916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05651109504330517,"score_gpt":0.2161779008008363,"score_spread":0.1596668057575311,"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."}}