{"id":"W6905975265","doi":"10.15468/dl.psdw36","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; Barcode; Arthropod; Entomology; Matching (statistics); State (computer science)","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":[0.00099391,0.002036721,0.00178963,0.006575814,0.00108337,0.002927982,0.002848375,0.002094594,0.1946582],"category_scores_gemma":[0.006565468,0.001011045,0.001433353,0.0107576,0.0004124435,0.002870233,0.003235271,0.002031158,0.2768734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545217,"about_ca_system_score_gemma":0.002145609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01725218,"about_ca_topic_score_gemma":0.02885385,"domain_scores_codex":[0.9988077,0.0001323401,0.0001693081,0.0004236508,0.0002605375,0.0002065732],"domain_scores_gemma":[0.9973384,0.000659952,0.0002513202,0.0007241221,0.0007147118,0.0003115694],"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":[0.00003665698,0.00001300774,0.0004987182,0.000666007,0.00001722411,0.00001995851,0.00002578937,0.0001086481,0.0001503052,0.0003568236,0.9959928,0.002114105],"study_design_scores_gemma":[0.00006691278,0.00001055507,0.002078983,0.0002193013,0.0000160253,0.00004862069,0.00009231136,0.0001748024,0.0001982594,0.0006709006,0.9964045,0.00001890179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004654719,0.00002855199,0.00005397926,0.0000327476,0.0000151648,0.000006671097,0.998609,0.000548659,0.0006586972],"genre_scores_gemma":[0.0001527007,0.00003573539,0.000253159,0.00004385918,0.000004395672,0.00004595916,0.998809,0.0001896004,0.0004656488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8053418,"threshold_uncertainty_score":0.6511965,"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."}}