{"id":"W1687255841","doi":"","title":"An assessment of catch per unit effort to estimate rate of change in deer and moose populations.","year":2001,"lang":"en","type":"article","venue":"Alces","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Catch per unit effort; Ecology; Biology; Unit (ring theory); Wildlife management; Geography; Fishery; Wildlife; Fishing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659334,0.00003632865,0.00006414864,0.00002706607,0.00002400725,0.000002632149,0.00004740436,0.00002487903,0.0002636614],"category_scores_gemma":[0.000005597789,0.00003364008,0.000005687129,0.0001071412,0.00003887073,0.0001636771,0.00002721357,0.00002148727,0.000006718824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000122261,"about_ca_system_score_gemma":0.000003700156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002026608,"about_ca_topic_score_gemma":0.006607142,"domain_scores_codex":[0.9996796,0.00002390769,0.00009962227,0.00008450881,0.00004441198,0.00006797751],"domain_scores_gemma":[0.9998452,0.0000135881,0.00003569743,0.00007600395,0.000004543904,0.00002493723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005315792,0.00004036528,0.9962708,0.000002263463,0.000001365314,7.598516e-7,0.0003199675,0.0007517737,0.000706731,0.0001830875,0.00001812105,0.001699497],"study_design_scores_gemma":[0.00009782859,0.0000573683,0.995604,0.000005020767,0.000004477016,8.642607e-7,0.00003483278,0.003599011,0.0001228767,0.0003235019,0.0001144258,0.00003576001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987689,0.000006869951,0.00005258106,0.0006345452,0.00002099527,0.0001138724,0.000001305785,0.000003741281,0.0003972205],"genre_scores_gemma":[0.9976199,0.000006677375,0.002012955,0.0002754405,0.000004615838,0.00001894727,0.000005981081,0.000002250858,0.00005318476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004580534,"threshold_uncertainty_score":0.368694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05551572841351354,"score_gpt":0.3705539160759477,"score_spread":0.3150381876624341,"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."}}