{"id":"W7133272315","doi":"","title":"ANMPA ecological monitoring indicator guidance","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Baseline (sea); Ecosystem; Arctic; Biodiversity; Traditional knowledge; Citizen science; Trophic level; Indigenous; Marine biodiversity","routes":{"ca_aff":false,"ca_fund":true,"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":[0.005429247,0.0007285224,0.0004001525,0.005383922,0.001219755,0.001781077,0.002285859,0.001051786,0.04534125],"category_scores_gemma":[0.01009152,0.0004817466,0.0004682597,0.003917707,0.0002757154,0.001542891,0.002089133,0.001374447,0.02004182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002498424,"about_ca_system_score_gemma":0.007820561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07026047,"about_ca_topic_score_gemma":0.0861778,"domain_scores_codex":[0.9950917,0.0009136286,0.0004652889,0.0005529356,0.002507262,0.0004692514],"domain_scores_gemma":[0.9874559,0.00100021,0.001277547,0.000991147,0.008397047,0.0008781713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001376034,0.0001229459,0.01987045,0.0003587431,0.00002037873,0.0001573516,0.0004159877,0.0009801814,0.002219233,0.004806991,0.8127363,0.1581738],"study_design_scores_gemma":[0.0000216313,0.0000480033,0.02824006,0.0002509237,0.000009762475,0.00006804101,0.0002641018,0.001836944,0.0008705911,0.0007910857,0.9675782,0.00002058565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01674745,0.001119259,0.03976474,0.007840373,0.00155898,0.009105714,0.2477297,0.009605708,0.666528],"genre_scores_gemma":[0.1240756,0.003205409,0.1836752,0.005320366,0.0007162837,0.02524759,0.3307568,0.00213526,0.3248674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9297395,"threshold_uncertainty_score":0.1516816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142218194909718,"score_gpt":0.246718987800552,"score_spread":0.2352968058514548,"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."}}