{"id":"W7006469877","doi":"","title":"Toronto Python User's Group: PyGTA","year":2008,"lang":"en","type":"article","venue":"","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004551864,0.00006607692,0.0000619778,0.00001284192,0.000152388,0.00004460325,0.0004217222,0.00001760247,0.00006681492],"category_scores_gemma":[0.000002414057,0.00006105479,0.00004218779,0.0001428736,0.00001935942,0.000410031,0.0001290417,0.00003249334,0.0002015625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003244103,"about_ca_system_score_gemma":0.00003002203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003725336,"about_ca_topic_score_gemma":0.00009975869,"domain_scores_codex":[0.9993904,0.00001218228,0.0001027677,0.0002143131,0.0001645836,0.0001157214],"domain_scores_gemma":[0.9994311,0.00005137977,0.00002721046,0.0003729368,0.00004962966,0.00006778675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[4.293017e-7,0.00005024444,0.0001046688,7.125516e-7,0.00000369776,0.000001710129,0.0001367451,0.00005794762,0.0002811536,0.9773678,0.01155961,0.01043533],"study_design_scores_gemma":[0.0005250747,0.0001082505,0.09122697,0.000005831173,0.000004652566,0.00009566939,0.00002774707,0.140658,0.0008062884,0.163034,0.6029171,0.0005904478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00507334,0.00005793227,0.9390384,0.0009449163,0.0001124508,0.00008225783,9.770771e-7,0.0002370921,0.05445267],"genre_scores_gemma":[0.8752835,0.00001967952,0.1217382,0.0007989674,0.0001110482,0.0000197835,0.000007028817,0.000006467691,0.002015331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8702102,"threshold_uncertainty_score":0.2590746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805864833137526,"score_gpt":0.2478796945334064,"score_spread":0.2298210462020311,"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."}}