{"id":"W6887168152","doi":"10.15468/dl.ruwqgw","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); Range (aeronautics); Homonym (biology); Alien","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":[0.001021342,0.001948154,0.001595743,0.005173456,0.001016217,0.002591986,0.002705972,0.002176984,0.1483479],"category_scores_gemma":[0.006109479,0.0008817149,0.001277902,0.009767992,0.0004645382,0.002252621,0.002534566,0.001960248,0.2099908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575979,"about_ca_system_score_gemma":0.002385521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246924,"about_ca_topic_score_gemma":0.03608213,"domain_scores_codex":[0.9989348,0.0001491076,0.0001350677,0.0003698449,0.0002360602,0.0001751258],"domain_scores_gemma":[0.9973623,0.000804883,0.0002441757,0.0006841574,0.0006118784,0.0002926059],"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":[0.00003111008,0.00001294971,0.0004301452,0.0006022952,0.00001564176,0.00001726712,0.00002530716,0.0001287265,0.000129031,0.0003604887,0.996753,0.001494046],"study_design_scores_gemma":[0.00007866391,0.00001058674,0.002288757,0.0002242331,0.00001650391,0.00004363046,0.00008630053,0.0001648013,0.0002047449,0.0007446613,0.9961184,0.00001871949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005010361,0.0000318019,0.00004112404,0.00004112847,0.00001311083,0.000005788597,0.9988242,0.0003873897,0.0006053739],"genre_scores_gemma":[0.0001742528,0.00003708097,0.0001871794,0.00004905782,0.000003838309,0.00004331473,0.9989166,0.0001346046,0.0004541064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8516521,"threshold_uncertainty_score":0.4962732,"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."}}