{"id":"W6905867150","doi":"10.15468/dl.v2zdcy","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Reference data","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":[0.0009417641,0.002038444,0.001640728,0.004997573,0.001013555,0.002539399,0.002859627,0.002224793,0.148466],"category_scores_gemma":[0.005834446,0.0009099654,0.001242343,0.009675761,0.0004447043,0.002254714,0.00261967,0.001992155,0.2140423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167085,"about_ca_system_score_gemma":0.002364599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02237847,"about_ca_topic_score_gemma":0.03572517,"domain_scores_codex":[0.9989594,0.0001315681,0.0001300264,0.0003614818,0.0002424494,0.0001750381],"domain_scores_gemma":[0.9976915,0.0006306899,0.0002197771,0.0006191558,0.0005697013,0.0002692097],"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":[0.00002991551,0.00001141171,0.0003912982,0.00053943,0.00001532657,0.00001566863,0.00002495559,0.0001356377,0.0001295239,0.0003876507,0.9968007,0.001518432],"study_design_scores_gemma":[0.00007464093,0.000008436154,0.001892635,0.0001953867,0.00001501328,0.00004035452,0.00007312928,0.0001727607,0.0002057442,0.000744678,0.9965588,0.00001825594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004358961,0.00002953953,0.00004705781,0.00003601567,0.00001190856,0.000005243242,0.9987835,0.0004379902,0.0006052409],"genre_scores_gemma":[0.000159596,0.00003256259,0.0002022015,0.00004366491,0.000003098759,0.00003835812,0.9989464,0.0001519874,0.0004221088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851534,"threshold_uncertainty_score":0.4966682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}