{"id":"W6888809907","doi":"10.21966/hd4h-hq92","title":"Salmon Pathogen Data from the 2019 Gulf of Alaska International Year of the Salmon Expedition","year":2022,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"","keywords":"Pathogen; Indian ocean; Pacific ocean; Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008661244,0.0004296891,0.0005279237,0.0001761001,0.0002006671,0.00005801984,0.00718352,0.0002661663,0.01433944],"category_scores_gemma":[0.0006374423,0.0002966729,0.0002299606,0.0004259842,0.000553954,0.000618404,0.004461903,0.0008792937,0.00101513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354813,"about_ca_system_score_gemma":0.0005472183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004974094,"about_ca_topic_score_gemma":0.001725496,"domain_scores_codex":[0.9958092,0.0003791476,0.0008726644,0.0008006871,0.001858579,0.000279724],"domain_scores_gemma":[0.9931156,0.000231763,0.001428174,0.004997842,0.0001684197,0.00005821204],"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":[0.0001393809,0.0002226146,0.0001737004,0.00002803221,0.0003351704,0.00001865078,0.00009612077,0.0001703787,0.001098078,0.00006670196,0.9975254,0.0001257771],"study_design_scores_gemma":[0.0006080789,0.00002993112,0.002859259,0.0002092893,0.0003384591,0.00001107694,0.0001046761,0.0000341402,0.0002233021,0.0001260498,0.9951733,0.0002824515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002381571,0.0003688979,0.00001721025,0.0002461047,0.007775344,0.0006692611,0.9880269,0.00003760657,0.0004771018],"genre_scores_gemma":[0.0007795285,0.0004071544,0.0001189334,0.0001508354,0.001226433,0.00005471029,0.9970025,0.00007703813,0.000182889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01332431,"threshold_uncertainty_score":0.9999486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04645403967608076,"score_gpt":0.2913344461141786,"score_spread":0.2448804064380978,"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."}}