{"id":"W6924751300","doi":"10.15468/dl.zyd9wq","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Marine research; Shore; Nautical mile; Estuary; Marine conservation; Trawling; Discards; Marine biodiversity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000941643,0.002206707,0.001960596,0.005500975,0.001071343,0.003786776,0.002733144,0.002067858,0.285846],"category_scores_gemma":[0.006628743,0.0008726715,0.001692535,0.008850513,0.0003337404,0.003692541,0.003604351,0.001938889,0.345311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562207,"about_ca_system_score_gemma":0.002122755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945645,"about_ca_topic_score_gemma":0.03189263,"domain_scores_codex":[0.9987237,0.0001425506,0.0001853933,0.0004759473,0.0002771442,0.000195275],"domain_scores_gemma":[0.9972975,0.0007180924,0.000205869,0.0006821234,0.0007664986,0.0003298967],"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":[0.0000447216,0.00001289811,0.0003421316,0.0004832615,0.00001412005,0.0000197665,0.00001928397,0.0001135547,0.00008270429,0.0004120578,0.9947581,0.003697326],"study_design_scores_gemma":[0.0000656976,0.00001381213,0.001396319,0.0001671827,0.00001426845,0.00004556503,0.00007837908,0.0003778782,0.0001634056,0.001383719,0.9962736,0.00002015673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000634135,0.00005040471,0.0001431116,0.00007631008,0.0000312567,0.00001412803,0.996313,0.001512115,0.001796321],"genre_scores_gemma":[0.0002914129,0.00006830286,0.0005892212,0.0001109654,0.00001135737,0.00007191544,0.9970875,0.0003934196,0.001375961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.714154,"threshold_uncertainty_score":0.9562501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}