{"id":"W7157512820","doi":"","title":"Evaluating harvest liberalization strategies on population dynamics of southern latitude temperate-breeding Canada geese","year":2025,"lang":"","type":"software","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Latitude; Biodiversity; Anatidae; Waterfowl; Population growth","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":[0.001061902,0.0002588116,0.0003437659,0.0004685391,0.0003878708,0.0006981561,0.000546714,0.0002680209,0.003932958],"category_scores_gemma":[0.004519775,0.0001297707,0.0003949709,0.0007354639,0.0002640281,0.0003744713,0.0003478684,0.0002469961,0.0002274575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004889636,"about_ca_system_score_gemma":0.007335955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8839709,"about_ca_topic_score_gemma":0.9394892,"domain_scores_codex":[0.9997309,0.00004633263,0.000009603992,0.00005194345,0.00006927588,0.00009187852],"domain_scores_gemma":[0.9981889,0.0008081543,0.0001354963,0.00008005769,0.0005320508,0.0002553163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002301147,0.0005380014,0.8354468,0.0001777576,0.000807514,0.0001438483,0.0005391788,0.08344293,0.005865726,0.00139145,0.01289077,0.05645486],"study_design_scores_gemma":[0.0001438854,0.0003900703,0.934598,0.00004265557,0.0003405409,0.00001534725,0.001041705,0.0580656,0.001868604,0.0003301567,0.003136461,0.00002689178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.9935596,0.00007120748,0.0003040031,0.00006423448,0.000004526217,0.00002966994,0.003544727,0.00003574467,0.002386232],"genre_scores_gemma":[0.9928416,0.00008271327,0.0008147143,0.00004101506,0.000001996334,0.00003014163,0.003838434,0.00001901954,0.002330251],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1160291,"threshold_uncertainty_score":0.2334248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0670503416182403,"score_gpt":0.362586939556189,"score_spread":0.2955365979379487,"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."}}