{"id":"W6905906627","doi":"10.15468/dl.qpgkbk","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); Toolbox; Data collection; Range (aeronautics); Software","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":[0.001083771,0.001878838,0.001609769,0.005891202,0.0009579249,0.002634012,0.002696271,0.001838437,0.2081622],"category_scores_gemma":[0.006291473,0.0009669109,0.001216624,0.01085358,0.0004410967,0.002453575,0.002981661,0.001903236,0.2724741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627161,"about_ca_system_score_gemma":0.002568755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02488876,"about_ca_topic_score_gemma":0.04235696,"domain_scores_codex":[0.9988641,0.0001437689,0.0001467393,0.0003793332,0.0002693069,0.0001968464],"domain_scores_gemma":[0.997113,0.0007530344,0.0002680392,0.0007404294,0.0007835494,0.0003418893],"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":[0.00002504537,0.00000802116,0.0003071869,0.0005470136,0.00001365898,0.00001168698,0.00002251925,0.00008817585,0.0001104364,0.0003445912,0.9970361,0.001485507],"study_design_scores_gemma":[0.00005193274,0.000006041036,0.001624067,0.0001861367,0.00001240265,0.00002749316,0.00006053704,0.00008239163,0.0001593085,0.0006296498,0.9971444,0.00001566604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002945642,0.00002216057,0.00003985157,0.00002799913,0.0000102914,0.000004785945,0.9988691,0.0003339233,0.0006623743],"genre_scores_gemma":[0.0001409011,0.00003631362,0.0002006673,0.00004500448,0.000003609553,0.00004247849,0.9987844,0.000188363,0.0005583848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7918378,"threshold_uncertainty_score":0.6963718,"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."}}