{"id":"W6968848823","doi":"10.5281/zenodo.7707847","title":"Simulation model canada goose_share data and code","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Source code; Data modeling; Matching (statistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002803152,0.0005596656,0.0006524445,0.0008013246,0.001012706,0.001034226,0.002944856,0.0008068187,0.05413647],"category_scores_gemma":[0.00160427,0.0004551243,0.0006618882,0.001964201,0.0003963702,0.0007967083,0.0006415405,0.001097987,0.01093084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004382886,"about_ca_system_score_gemma":0.009553947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8036366,"about_ca_topic_score_gemma":0.7689031,"domain_scores_codex":[0.999687,0.00002818649,0.000009509698,0.00005403593,0.0001504152,0.00007096842],"domain_scores_gemma":[0.9990821,0.0001141706,0.00002349271,0.00009098202,0.0006050877,0.00008412455],"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":[0.0003103176,0.00009092458,0.006352555,0.0001951444,0.0001148303,0.00007900418,0.000110209,0.5351118,0.001836837,0.02372214,0.4145918,0.0174844],"study_design_scores_gemma":[0.0003189387,0.00003776432,0.003465296,0.00005126071,0.00007546768,0.00004883669,0.0001234458,0.6833326,0.003174928,0.009402209,0.2998501,0.0001190448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0600391,0.0004127262,0.04995075,0.001781439,0.0003956934,0.0005087757,0.6502128,0.01527739,0.2214214],"genre_scores_gemma":[0.3603661,0.0008350338,0.05852683,0.0007634222,0.00006137566,0.001348704,0.4868138,0.006049421,0.08523531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1963634,"threshold_uncertainty_score":0.3950397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3006973343025892,"score_gpt":0.4026117089883652,"score_spread":0.101914374685776,"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."}}