{"id":"W154063022","doi":"10.37099/mtu.dc.etds/744","title":"Big Manistee River Tributaries as Potential Arctic Grayling Habitat","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Michigan Technological University","keywords":"Grayling; Tributary; Habitat; Arctic; Geography; Environmental science; Ecology; Fishery; Biology","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":[0.0003451295,0.00008995084,0.000119308,0.0007614999,0.0003952145,0.0005325817,0.0001714319,0.0001073336,0.0004956285],"category_scores_gemma":[0.0005184858,0.00006311642,0.00009161316,0.0006905717,0.0001882659,0.0003129892,0.0003091001,0.0000684273,0.00006101251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400615,"about_ca_system_score_gemma":0.0004128022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213952,"about_ca_topic_score_gemma":0.1305238,"domain_scores_codex":[0.999891,0.00003118756,0.00001051934,0.00002188807,0.00002729132,0.00001802836],"domain_scores_gemma":[0.9997308,0.00008997348,0.00007493707,0.00001355067,0.000054452,0.0000362287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004594498,0.00001884228,0.9715384,0.0001029994,0.00001645054,0.000883094,0.002508251,0.0001332134,0.002737467,0.000217329,0.0002854287,0.02151266],"study_design_scores_gemma":[0.000001137814,0.00003805391,0.9936017,0.00003139737,0.00001239905,0.0003945484,0.002768868,0.0001415161,0.0002551085,0.00005319548,0.002697272,0.000004682758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968831,0.0005688511,0.0001099304,0.00003730262,0.00000251188,0.0000114702,0.0001658116,0.000003818463,0.002217253],"genre_scores_gemma":[0.9981859,0.0005120765,0.0006443186,0.0000191608,0.000003852247,0.00001079222,0.0002028894,0.000001643929,0.0004193563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213952,"threshold_uncertainty_score":0.02413774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005572199762659704,"score_gpt":0.2078727228902408,"score_spread":0.202300523127581,"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."}}