{"id":"W6905744913","doi":"10.15468/dl.nx6prr","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); 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":[0.0009671951,0.001894858,0.001559162,0.004843046,0.001015983,0.002557679,0.002686958,0.002111165,0.1642474],"category_scores_gemma":[0.006083219,0.0009007663,0.001214875,0.009270685,0.0004529665,0.002408517,0.002638036,0.001968261,0.2287652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528236,"about_ca_system_score_gemma":0.002298804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042952,"about_ca_topic_score_gemma":0.03333598,"domain_scores_codex":[0.998979,0.0001414035,0.0001327758,0.0003610429,0.0002142197,0.0001715787],"domain_scores_gemma":[0.9974129,0.0007526379,0.0002338411,0.0006740348,0.0006354338,0.0002911515],"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":[0.00002822149,0.00001172426,0.0003865122,0.0005631587,0.00001379425,0.00001532578,0.00002436713,0.0001249361,0.000115047,0.0003590359,0.9969194,0.001438446],"study_design_scores_gemma":[0.00007190753,0.000009269472,0.001905056,0.0002097619,0.00001410315,0.00003717075,0.00008367665,0.0001599198,0.0001781624,0.0007430231,0.99657,0.00001789985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004357146,0.00002684669,0.00004362817,0.00003954908,0.00001396559,0.000005723032,0.9988399,0.0003677637,0.0006191046],"genre_scores_gemma":[0.0001628721,0.00003444609,0.0002022948,0.0000494383,0.000003970311,0.00004489079,0.9988852,0.0001399591,0.0004768648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8357526,"threshold_uncertainty_score":0.5494622,"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."}}