{"id":"W7133289046","doi":"","title":"Ikaluit Lake Arctic char assessment","year":2023,"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":"Stock (firearms); Fishing; Subsistence agriculture; The arctic; Arctic","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":[0.001268926,0.0006860717,0.0003635388,0.003978548,0.001940919,0.001877822,0.001186678,0.0002518172,0.0147085],"category_scores_gemma":[0.001481378,0.0002435573,0.0004015859,0.003439168,0.0002242885,0.0004815274,0.002249941,0.0005337967,0.005369967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004860512,"about_ca_system_score_gemma":0.00716172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5368652,"about_ca_topic_score_gemma":0.7532319,"domain_scores_codex":[0.9987698,0.00006192885,0.0000643914,0.00008779881,0.0008130451,0.0002029258],"domain_scores_gemma":[0.9970556,0.00002870523,0.0002126812,0.00006637616,0.002468464,0.0001681905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001220996,0.0003313049,0.4333918,0.0012051,0.0002134954,0.001026514,0.003220813,0.002637154,0.005259559,0.005170425,0.3705532,0.1757698],"study_design_scores_gemma":[0.00006272201,0.0001924957,0.5481627,0.0004920894,0.0001426255,0.0003322649,0.003959659,0.002489728,0.002539475,0.0006320975,0.4409031,0.00009112466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3166033,0.001198159,0.003321829,0.001274726,0.0002293162,0.002161515,0.1695004,0.001085548,0.5046253],"genre_scores_gemma":[0.4230787,0.002028367,0.01362175,0.0007747562,0.00007932875,0.002321828,0.3030306,0.0005077643,0.254557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4631348,"threshold_uncertainty_score":0.9317245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148309298133709,"score_gpt":0.2573899745447964,"score_spread":0.2459068815634593,"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."}}