{"id":"W6887318652","doi":"10.15468/dl.zr3zy7","title":"Occurrence Download","year":2020,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001020469,0.001930126,0.001580771,0.005796022,0.0009758199,0.002975627,0.002886437,0.001915418,0.2301527],"category_scores_gemma":[0.006707167,0.001021228,0.001170181,0.01117796,0.0004346477,0.002702644,0.002907741,0.001858689,0.2996293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784679,"about_ca_system_score_gemma":0.002470135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251694,"about_ca_topic_score_gemma":0.03289113,"domain_scores_codex":[0.9989974,0.0001219032,0.0001286185,0.0003250619,0.0002371484,0.0001899263],"domain_scores_gemma":[0.9974698,0.0006624065,0.0002211983,0.0006133753,0.0007455574,0.0002877444],"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":[0.00002573238,0.000008071395,0.0002978936,0.0005508554,0.00001103113,0.00001347904,0.00002226398,0.0000897075,0.00009075118,0.0003837584,0.9966376,0.001868997],"study_design_scores_gemma":[0.00004643404,0.000005542319,0.001300216,0.0001985174,0.000009897076,0.00003015953,0.00005882197,0.00009999258,0.0001434724,0.0006527027,0.9974402,0.00001399537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002672063,0.00002378223,0.00004372279,0.00003456031,0.00001056211,0.000005026028,0.9985405,0.0004230469,0.0008921792],"genre_scores_gemma":[0.0001506145,0.00004322316,0.0002302086,0.00005573233,0.000004032372,0.00004556008,0.9985613,0.0002202955,0.0006889428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7698473,"threshold_uncertainty_score":0.7699375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}