{"id":"W6962124577","doi":"10.15468/dl.wxxgc4","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","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":[0.0009840825,0.001913245,0.001592062,0.00505566,0.0009711393,0.002554889,0.00269967,0.002072566,0.1531197],"category_scores_gemma":[0.005906134,0.0008644694,0.00129493,0.009866294,0.0004482763,0.002189423,0.002504275,0.001923903,0.2272332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544295,"about_ca_system_score_gemma":0.002296564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0220954,"about_ca_topic_score_gemma":0.03442272,"domain_scores_codex":[0.9989347,0.0001489717,0.0001364478,0.000365721,0.000236045,0.0001780798],"domain_scores_gemma":[0.9974795,0.0007383135,0.0002266941,0.0006473576,0.0006323562,0.0002758753],"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":[0.00002944029,0.00001221978,0.0004262299,0.0005784867,0.00001513186,0.00001575807,0.00002368757,0.0001279974,0.0001176683,0.0003326525,0.9967849,0.001535853],"study_design_scores_gemma":[0.00007420815,0.00001014699,0.002238835,0.0002264949,0.00001660056,0.00003888569,0.00008538187,0.0001684732,0.000197886,0.0007165325,0.9962078,0.00001872343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004657585,0.00002935727,0.00003870664,0.00003752607,0.0000124937,0.000005723125,0.998879,0.0003574773,0.0005931468],"genre_scores_gemma":[0.0001603674,0.00003546606,0.0001756353,0.00004363652,0.000003667004,0.00004218726,0.9989712,0.000122638,0.0004452125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8468803,"threshold_uncertainty_score":0.5122364,"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."}}