{"id":"W6887758371","doi":"10.17605/osf.io/qhvgc","title":"Data from: Complex tactics in a dynamic large herbivore-carnivore spatiotemporal game","year":2018,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Global Positioning System; Function (biology); Linear model; Feature selection","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002298206,0.0002276785,0.0002677165,0.00006107106,0.0001620562,0.00005303039,0.001614539,0.0002125212,0.671236],"category_scores_gemma":[0.0008416953,0.0002632212,0.00004991735,0.0002772696,0.0003837108,0.0006038782,0.003159479,0.00039539,0.7495295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002862766,"about_ca_system_score_gemma":0.0000623326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002562272,"about_ca_topic_score_gemma":0.01623699,"domain_scores_codex":[0.9965208,0.0004665629,0.0004771776,0.001777062,0.0003063119,0.0004521555],"domain_scores_gemma":[0.9957462,0.0002541829,0.0002314862,0.003611339,0.00002315604,0.0001336145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007716551,0.0003167283,0.9742672,0.000006985153,0.00003408209,0.00001540345,0.0009357299,0.0001495398,0.000896272,0.00008221173,0.02086291,0.002355808],"study_design_scores_gemma":[0.0005895885,0.000001648138,0.8969309,0.0000193056,0.0000220649,0.000005075576,0.0001197644,0.04557088,0.0001012528,0.003553435,0.05283893,0.0002472112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8495693,4.132108e-7,0.002570803,0.0006866308,0.0001989892,0.000438202,0.00008967389,0.00006608239,0.1463799],"genre_scores_gemma":[0.9742064,0.000009067106,0.002211703,0.0006773524,0.00006388632,0.00004312394,0.0003658028,0.00002420036,0.02239848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1246371,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190830418331622,"score_gpt":0.2816874368914528,"score_spread":0.2497791327081366,"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."}}