{"id":"W6905546775","doi":"10.15468/dl.qsypqm","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); Alien; The Internet","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":[0.001073072,0.002012874,0.001656465,0.004982988,0.001002161,0.002613537,0.002905276,0.002163694,0.1599027],"category_scores_gemma":[0.006131501,0.0009219715,0.001207169,0.009779756,0.0004595775,0.00234812,0.002483587,0.002047654,0.2259341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705666,"about_ca_system_score_gemma":0.002447881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226208,"about_ca_topic_score_gemma":0.03454743,"domain_scores_codex":[0.9989316,0.0001485107,0.0001323314,0.0003713194,0.000238134,0.0001780553],"domain_scores_gemma":[0.9974304,0.0007546635,0.0002392085,0.0006615047,0.0006219218,0.0002922937],"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":[0.00002996746,0.00001159197,0.000344962,0.0005234541,0.00001465691,0.0000137725,0.00002085862,0.0001258874,0.0001161704,0.0003698468,0.997071,0.001357794],"study_design_scores_gemma":[0.0000764486,0.000008662651,0.001859123,0.000196478,0.00001488108,0.00003518848,0.00006957984,0.0001536331,0.0002057795,0.0008351994,0.9965267,0.00001830432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003776328,0.00002559208,0.00004144144,0.00003427448,0.00001098753,0.000005009011,0.9989041,0.0003475483,0.0005933784],"genre_scores_gemma":[0.0001513222,0.00003187755,0.0001796417,0.00004318605,0.000003277837,0.00004119855,0.9989797,0.0001366824,0.0004331183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8400972,"threshold_uncertainty_score":0.534928,"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."}}