{"id":"W6906132139","doi":"10.15468/dl.z62b72","title":"Occurrence Download","year":2022,"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); Identification (biology); 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":[0.001147515,0.001990166,0.001680418,0.005426598,0.001024609,0.002791921,0.002965146,0.00210242,0.1654862],"category_scores_gemma":[0.006776426,0.0009908227,0.00116988,0.01042843,0.0004735249,0.002417654,0.002645466,0.002061626,0.2265097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656516,"about_ca_system_score_gemma":0.002440619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231697,"about_ca_topic_score_gemma":0.03585381,"domain_scores_codex":[0.9988135,0.0001612568,0.0001611944,0.0004114206,0.0002641792,0.0001884551],"domain_scores_gemma":[0.9971713,0.0008334617,0.0002694869,0.0007364419,0.0006723155,0.0003169209],"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":[0.0000289346,0.00001105545,0.0003764687,0.000554628,0.0000158142,0.0000156344,0.00002410637,0.0001206543,0.0001134759,0.0003807597,0.997057,0.001301567],"study_design_scores_gemma":[0.00007549608,0.000008128134,0.001889844,0.0002043618,0.00001578291,0.00004074052,0.00007670903,0.0001553341,0.0001841258,0.0007767812,0.9965541,0.00001854492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003591446,0.0000237271,0.00004275944,0.0000331796,0.00001088083,0.000004705361,0.9989522,0.000344153,0.0005525496],"genre_scores_gemma":[0.0001434103,0.00003072694,0.0001844182,0.00004066285,0.000003149422,0.00003757318,0.9990139,0.0001439472,0.0004021085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345138,"threshold_uncertainty_score":0.5536066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}