{"id":"W6945412558","doi":"10.25607/tp2oyf","title":"DFO Pacific Inside South Hard Bottom Longline Surveys","year":2023,"lang":"en","type":"dataset","venue":"IOC of UNESCO (Intergovernmental Oceanographic Commission)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Habitat; Fishing; West coast; Pacific ocean; Nautical mile","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009601686,0.0008487017,0.0009368298,0.0002404388,0.0002808131,0.0001095096,0.001445036,0.0005140211,0.04271137],"category_scores_gemma":[0.0002155164,0.0007797679,0.0007193652,0.001310563,0.0008364761,0.0002226505,0.001722517,0.0008468369,0.006785944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009543135,"about_ca_system_score_gemma":0.00003805009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00167312,"about_ca_topic_score_gemma":0.001924471,"domain_scores_codex":[0.9944961,0.0003981865,0.001152312,0.00103221,0.002138732,0.0007824799],"domain_scores_gemma":[0.9969162,0.0002417095,0.0008641412,0.001442167,0.00003500771,0.0005007419],"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":[0.0001002803,0.0004942717,0.02764372,0.0001411871,0.000114641,0.00008159244,0.0000680071,0.000001918678,0.000263575,0.000007608212,0.970813,0.0002701653],"study_design_scores_gemma":[0.0009769948,0.000300125,0.1105764,0.0004310162,0.0001344754,0.00001982872,0.002706715,0.00001129701,0.0004345404,0.00002431592,0.8835578,0.0008264785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03731654,0.0001565472,0.000009810953,0.0003242164,0.00160833,0.0004791877,0.9571984,0.0001654325,0.002741569],"genre_scores_gemma":[0.05817084,0.001142728,0.00004112301,0.0002056642,0.0001335967,0.00003823651,0.9364442,0.0001150228,0.003708559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08725522,"threshold_uncertainty_score":0.9994653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326233776623994,"score_gpt":0.2423312582809714,"score_spread":0.2190689205147315,"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."}}