{"id":"W2783561204","doi":"10.1038/s41598-017-19115-x","title":"First estimates of Greenland shark (Somniosus microcephalus) local abundances in Arctic waters","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Nunavut; University of Windsor","keywords":"Arctic; Oceanography; Abundance (ecology); Greenland ice sheet; Fishery; Geography; Fishing; The arctic; Biomass (ecology); Physical geography; Environmental science; Geology; Biology; Ice sheet","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008233442,0.0001124869,0.0001746677,0.00007294974,0.0001787192,0.00002124998,0.0001823513,0.00008090883,0.001731999],"category_scores_gemma":[0.00008273114,0.0000889963,0.00003988856,0.0002888641,0.002801767,0.000127895,0.0002281507,0.00007159692,0.0003030968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006521442,"about_ca_system_score_gemma":0.00002075584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612806,"about_ca_topic_score_gemma":0.004690828,"domain_scores_codex":[0.9985563,0.0000269513,0.0003670064,0.0005460616,0.000168365,0.0003353324],"domain_scores_gemma":[0.9993669,0.00003539861,0.0001427723,0.0003733924,0.0000205193,0.00006101429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003033351,0.00007442993,0.9796638,0.0000209843,0.000006668798,0.0001529308,0.0004953099,0.000194648,0.01453181,0.00001610064,0.003472982,0.001339985],"study_design_scores_gemma":[0.0003667288,0.0002566101,0.8463811,0.00006563529,0.00002223974,0.0007661745,0.0001284793,0.0009150382,0.09897979,0.01566512,0.03610719,0.0003459124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938457,0.00003947353,0.0001932351,0.0001108066,0.002386404,0.0001265333,7.240852e-7,0.00001727416,0.003279828],"genre_scores_gemma":[0.9982488,0.000002586147,0.0007099956,0.0000367524,0.00002762283,0.000007436917,0.00001127758,0.000005678691,0.0009499031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1332827,"threshold_uncertainty_score":0.999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006841989328057929,"score_gpt":0.2225187252985892,"score_spread":0.2156767359705312,"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."}}