{"id":"W6924649295","doi":"10.15468/dl.wtfmcz","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":"Matching (statistics); Download; Alien; Range (aeronautics); 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":[0.0008903841,0.002051381,0.001526933,0.004892203,0.0009459326,0.002424752,0.002593117,0.001905287,0.1626826],"category_scores_gemma":[0.00575849,0.0009158576,0.001210692,0.009740725,0.0004333507,0.002186787,0.002544647,0.00178763,0.2210956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448073,"about_ca_system_score_gemma":0.00224217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027934,"about_ca_topic_score_gemma":0.03254641,"domain_scores_codex":[0.9990023,0.0001296801,0.0001300953,0.0003604587,0.0002055377,0.0001719729],"domain_scores_gemma":[0.9976642,0.0006632702,0.0002271399,0.0005931428,0.0005784704,0.000273807],"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":[0.00003404982,0.00001189014,0.0004147824,0.0005602044,0.00001469291,0.00001492292,0.00002175654,0.0001307326,0.000129623,0.0003474648,0.9968156,0.001504192],"study_design_scores_gemma":[0.00008282455,0.00001117639,0.002059928,0.0001908442,0.00001573579,0.00003885035,0.00006999521,0.0001616834,0.0002058663,0.000769201,0.9963747,0.00001923096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004616797,0.00002496568,0.00003866126,0.00003096253,0.00001192219,0.000004925438,0.9988674,0.0003677528,0.0006072636],"genre_scores_gemma":[0.00016076,0.00003239042,0.0001842349,0.00004358982,0.000003505954,0.00003929144,0.9989331,0.0001447768,0.0004583351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373174,"threshold_uncertainty_score":0.5442275,"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."}}