{"id":"W7133288650","doi":"","title":"Pacific Estuary 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":"","keywords":"Estuary; Ecosystem; Watershed; Population; Climate change; Habitat","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001145944,0.0009426546,0.000350877,0.005184334,0.001256014,0.002236518,0.001408237,0.000455072,0.02194412],"category_scores_gemma":[0.002292335,0.00026734,0.0005811576,0.008956296,0.0003011315,0.00104799,0.001646915,0.0008658433,0.00446429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536629,"about_ca_system_score_gemma":0.007815164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.303075,"about_ca_topic_score_gemma":0.4287558,"domain_scores_codex":[0.9989851,0.00006222414,0.00008942656,0.00009644451,0.0006685873,0.00009823787],"domain_scores_gemma":[0.9969894,0.00006384797,0.0002068114,0.00008026236,0.00256186,0.00009787748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000201136,0.0001898988,0.236073,0.001730053,0.0002898218,0.00136787,0.001122394,0.009467283,0.001026076,0.01294676,0.4318795,0.3037063],"study_design_scores_gemma":[0.00004404254,0.00006367974,0.2179702,0.0008305833,0.0001579877,0.0002253173,0.002859436,0.006271112,0.001080202,0.002388619,0.7680542,0.0000547328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07051546,0.001582912,0.0093632,0.001211328,0.0005181868,0.00140922,0.257763,0.001513169,0.6561235],"genre_scores_gemma":[0.3134083,0.007380126,0.03837386,0.001223719,0.0001843394,0.002599545,0.3795435,0.0007978163,0.2564888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.696925,"threshold_uncertainty_score":0.6026217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045918950005529,"score_gpt":0.2547596774529136,"score_spread":0.2443004879528583,"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."}}