{"id":"W222515921","doi":"","title":"Evaluation of the state and productivity of moose populations using leslie matrix analyses.","year":2002,"lang":"en","type":"article","venue":"Alces","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Productivity; Matrix (chemical analysis); Ecology; Biology; Geography; Zoology; Economics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045377,0.0001950118,0.0001888603,0.001014371,0.0003074753,0.0004466999,0.000192705,0.0001398039,0.001121662],"category_scores_gemma":[0.002767376,0.0001064347,0.0001891492,0.000646255,0.0001340063,0.0004516909,0.0003197183,0.0001571693,0.000203489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003480744,"about_ca_system_score_gemma":0.0003074595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140307,"about_ca_topic_score_gemma":0.04582955,"domain_scores_codex":[0.9996922,0.0001271725,0.00001463707,0.0000706506,0.00007226936,0.00002313847],"domain_scores_gemma":[0.9987213,0.0004843716,0.0001960889,0.0001285765,0.0003904105,0.00007927705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001093134,0.0000993447,0.7590469,0.0000939372,0.0004336518,0.0001453222,0.001255154,0.008002156,0.1248811,0.002503073,0.000621627,0.1018246],"study_design_scores_gemma":[0.00004957534,0.0004516586,0.8015503,0.00002370587,0.0002071943,0.0004239092,0.0008651864,0.1500203,0.04037623,0.00228968,0.003695729,0.00004655974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772353,0.00008333654,0.02096434,0.00002358368,0.000002454324,0.00002011947,0.0005162134,0.0001118432,0.001042823],"genre_scores_gemma":[0.9760036,0.00005490465,0.0225843,0.000005450156,0.000002893502,0.00002410163,0.0005290116,0.00002385744,0.0007717105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140307,"threshold_uncertainty_score":0.02267343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1510931701325423,"score_gpt":0.3750263904191236,"score_spread":0.2239332202865812,"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."}}