{"id":"W6929710166","doi":"10.5063/f1zk5dwh","title":"Alaska commercial salmon fishery ex-vessel prices, 1984-2015","year":2018,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pound (networking); Sound (geography); Fish <Actinopterygii>; Netting; Fishing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006896948,0.0006989977,0.0006556846,0.0002247209,0.0002332914,0.0001633196,0.001650034,0.001512745,0.001674745],"category_scores_gemma":[0.0003606803,0.0006848942,0.0002585255,0.0002655713,0.0003575968,0.00001163065,0.001238276,0.0008812198,0.001116007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104633,"about_ca_system_score_gemma":0.0007722829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004873542,"about_ca_topic_score_gemma":0.000409311,"domain_scores_codex":[0.9959506,0.000307616,0.0006587237,0.001250621,0.00077879,0.001053608],"domain_scores_gemma":[0.9968295,0.0000462782,0.0002153693,0.002228002,0.000257172,0.0004237326],"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":[0.0001962781,0.0001933721,0.0001533013,0.0001925834,0.0001520679,0.00005396477,0.000009465783,5.313042e-7,0.009775545,4.931927e-7,0.9882321,0.001040258],"study_design_scores_gemma":[0.0006061732,0.0006215972,0.0005356565,0.0000787762,0.00006424954,0.00005354422,0.00001139279,0.000004526237,0.01497793,0.000009694746,0.9822875,0.0007490229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0107434,0.00234604,0.00003830456,0.0002651379,0.0009129226,0.0009732072,0.9832372,0.00003955167,0.001444258],"genre_scores_gemma":[0.001157227,0.002087106,0.0003022859,0.000872425,0.003605665,0.0001348962,0.9906071,0.0001143798,0.001118866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009586172,"threshold_uncertainty_score":0.9997835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780561407314727,"score_gpt":0.3118283449288376,"score_spread":0.2940227308556903,"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."}}