{"id":"W4237271030","doi":"10.2305/iucn.uk.2004.rlts.t44560a10920364.en","title":"Acipenser transmontanus (Upper Fraser River subpopulation): Down, T. & Ptolemy, J. (Ministry of Water, Land & Air Protection, Canada)","year":2004,"lang":"en","type":"dataset","venue":"IUCN Red List of Threatened Species","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Ptolemy's table of chords; Hydrology (agriculture); Geography; Environmental science; Fishery; Geology; Biology; Mathematics; Political science; Law; Geotechnical engineering","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":[0.0004817402,0.001109562,0.0007258481,0.003830016,0.0006357469,0.0007305114,0.001762364,0.000486999,0.05894946],"category_scores_gemma":[0.001268692,0.0005566629,0.0003776307,0.005699313,0.0001601753,0.0005966185,0.0007020071,0.000713249,0.03439397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008328799,"about_ca_system_score_gemma":0.001363342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1027892,"about_ca_topic_score_gemma":0.2317027,"domain_scores_codex":[0.9996005,0.00003401335,0.00005862465,0.0001267147,0.0001144624,0.00006562776],"domain_scores_gemma":[0.9988999,0.0001059678,0.000271247,0.0002179011,0.0003921012,0.0001128001],"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":[0.00008909427,0.00003284849,0.01174407,0.0006518681,0.00004334466,0.000044584,0.00006553318,0.0002786282,0.0002753217,0.0003631387,0.9734181,0.0129934],"study_design_scores_gemma":[0.000152676,0.00002243517,0.1237348,0.0002958398,0.00005976655,0.0001320896,0.0001819162,0.0004012408,0.000532658,0.0004064029,0.8740532,0.00002689218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009711049,0.00004616308,0.00009323857,0.00001864723,0.00001180459,0.00002333604,0.9968252,0.00007433372,0.001936176],"genre_scores_gemma":[0.002237288,0.00006038987,0.0004734487,0.0000200469,0.000005228847,0.000102544,0.9945903,0.0000259034,0.002484881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8972108,"threshold_uncertainty_score":0.2043817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601416994987905,"score_gpt":0.2132818654856836,"score_spread":0.1972676955358045,"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."}}