{"id":"W4413834894","doi":"10.24908/iqurcp19142","title":"Maximum Entropy Modeling Loggerhead Shrike Distribution in Southern Ontario","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Shrike; Geography; Environmental science; Oceanography; Fishery; Physical geography; Geology; Ecology; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00212479,0.0003020499,0.0003535725,0.0003237891,0.0004015632,0.0005070912,0.0009730436,0.000237248,0.001921733],"category_scores_gemma":[0.0003772943,0.00029041,0.00008596673,0.001581668,0.0008876377,0.0006819727,0.001419298,0.001571377,0.0004536909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00217735,"about_ca_system_score_gemma":0.0004924636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1494239,"about_ca_topic_score_gemma":0.03395281,"domain_scores_codex":[0.995454,0.0001236288,0.0005479139,0.0009565986,0.001452577,0.001465275],"domain_scores_gemma":[0.9989362,0.0001064997,0.00006323064,0.0003194226,0.0003048702,0.0002697715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000718533,0.0005647871,0.8637381,0.0002057692,0.00006639909,0.00006366175,0.01263797,0.0002663246,0.002990361,0.06133463,0.01315512,0.04425835],"study_design_scores_gemma":[0.003186353,0.0006130505,0.01359968,0.0004567336,0.00002782188,0.00001523335,0.02071931,0.1531496,0.0009136064,0.7068112,0.09907508,0.001432283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7871565,0.00001359332,0.009635224,0.01928418,0.0001538224,0.001199235,0.00001395528,0.0001294621,0.182414],"genre_scores_gemma":[0.9783501,0.0001453599,0.0002226918,0.00008037323,0.00004980256,0.0001993194,0.00004609219,0.00002282914,0.02088341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8501384,"threshold_uncertainty_score":0.9999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06373075884358577,"score_gpt":0.3277921370248223,"score_spread":0.2640613781812366,"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."}}