{"id":"W6924621207","doi":"10.15468/dl.qcujgc","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Listing (finance); Range (aeronautics); Confidentiality","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":[0.0008640725,0.001824593,0.001493474,0.004567184,0.001074353,0.002784766,0.002862348,0.001976533,0.1982625],"category_scores_gemma":[0.006059403,0.001000349,0.001222538,0.00882999,0.0004187921,0.002560974,0.002895135,0.002104212,0.2500234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809994,"about_ca_system_score_gemma":0.002370458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346198,"about_ca_topic_score_gemma":0.03843478,"domain_scores_codex":[0.9990782,0.0001073708,0.0001195145,0.0003167714,0.0002152165,0.0001630229],"domain_scores_gemma":[0.9976828,0.0005977408,0.0001864453,0.0006103329,0.000672492,0.0002501552],"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":[0.00002643634,0.000009528536,0.0003230616,0.0004891607,0.00001196002,0.00001319487,0.00002142915,0.00009230104,0.00009351222,0.0004168708,0.9969441,0.001558461],"study_design_scores_gemma":[0.00006386913,0.000005843846,0.001424352,0.0001841995,0.00001052482,0.00003119232,0.00006363214,0.0001383476,0.0001655085,0.0007422581,0.9971564,0.00001398709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003213541,0.00002159419,0.00004962097,0.00003577157,0.00001098828,0.000005698871,0.9985948,0.0004615757,0.0007877483],"genre_scores_gemma":[0.0001647965,0.00003906737,0.0002554468,0.00005596308,0.000003764401,0.00004710335,0.9985933,0.000231642,0.0006089088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8017375,"threshold_uncertainty_score":0.6632541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542680678812831,"score_gpt":0.1857083214744275,"score_spread":0.1702815146862992,"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."}}