{"id":"W6905926589","doi":"10.15468/dl.u259kv","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; Research vessel; Range (aeronautics); Matching (statistics); Spring (device)","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":[0.0009074398,0.002724983,0.002041526,0.006161244,0.001346069,0.004213849,0.003319117,0.002625395,0.2908677],"category_scores_gemma":[0.007216023,0.001063206,0.001834614,0.01005289,0.0004022442,0.004650888,0.003966049,0.002418874,0.4079967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787576,"about_ca_system_score_gemma":0.002237263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765648,"about_ca_topic_score_gemma":0.03284682,"domain_scores_codex":[0.9985573,0.0001643867,0.0001964822,0.000526829,0.0003260731,0.0002289304],"domain_scores_gemma":[0.9971807,0.0007018919,0.0002148861,0.0006912866,0.0008793254,0.0003319579],"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":[0.00004334014,0.00001253815,0.0002807784,0.0004845748,0.00001196903,0.00002118567,0.00001928292,0.0001017998,0.00008329711,0.0004077046,0.9956259,0.002907692],"study_design_scores_gemma":[0.00006237731,0.00001252888,0.001029213,0.0001580186,0.00001213451,0.00005218434,0.00007509343,0.0003037435,0.0001597811,0.001306992,0.9968077,0.00002020278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007787079,0.00008221414,0.0001961918,0.0001007237,0.00004129546,0.00001464983,0.9944471,0.002355353,0.00268463],"genre_scores_gemma":[0.00030144,0.00007971314,0.0005955925,0.0001182885,0.00001326503,0.00005863962,0.9965819,0.0006147868,0.001636551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7091323,"threshold_uncertainty_score":0.9730493,"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."}}