{"id":"W239337727","doi":"","title":"COMPLEXITY AND INFORMATION GAPS IN RECOVERY PLANNING FOR MOOSE (ALCES ALCES AMERICANA) IN NOVA SCOTIA, CANADA","year":2006,"lang":"en","type":"article","venue":"Alces","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Geography; Wildlife management; Nova (rocket); Ecology; Wildlife; Biology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002045485,0.0001229403,0.0003250204,0.00247733,0.002492703,0.002146626,0.001111008,0.0005411991,0.00191293],"category_scores_gemma":[0.01770871,0.0002529759,0.0002037115,0.003809405,0.001226981,0.001326774,0.001368169,0.0006414051,0.00007153141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02275891,"about_ca_system_score_gemma":0.0409729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887476,"about_ca_topic_score_gemma":0.994979,"domain_scores_codex":[0.9985211,0.0003229366,0.00009689244,0.0001485022,0.0003664943,0.0005440238],"domain_scores_gemma":[0.9879068,0.005409081,0.001647991,0.0002833053,0.003413258,0.001339469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006241358,0.0001977503,0.8389672,0.0003555555,0.0001786963,0.001154995,0.01361543,0.03344959,0.0004810329,0.00758329,0.01247551,0.09091683],"study_design_scores_gemma":[0.00003505352,0.00005029836,0.9428741,0.0002819474,0.00008451038,0.0001573582,0.02891535,0.0178276,0.0002018513,0.002010249,0.007514153,0.00004736043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891216,0.0005235007,0.0003766879,0.002818829,0.000008084834,0.00006249243,0.001044509,0.00001148193,0.006032708],"genre_scores_gemma":[0.9979107,0.000215311,0.0005128548,0.0001013463,0.000003942948,0.00001554519,0.0004275861,0.000003986924,0.0008087239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02275891,"threshold_uncertainty_score":0.1651283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121724448781482,"score_gpt":0.2186167617995072,"score_spread":0.206444316921359,"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."}}