{"id":"W6962203077","doi":"10.15468/dl.nauzbd","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; Range (aeronautics); Field (mathematics); Key (lock)","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":[0.0008869033,0.00206823,0.001611106,0.00511063,0.0009539411,0.002492042,0.002695205,0.001863576,0.1730314],"category_scores_gemma":[0.005419575,0.0009733374,0.001159451,0.01017253,0.0004349631,0.002306867,0.002593767,0.001857678,0.2387471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449681,"about_ca_system_score_gemma":0.002191486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01922327,"about_ca_topic_score_gemma":0.03283783,"domain_scores_codex":[0.9989858,0.000135268,0.0001299032,0.000365739,0.0002134419,0.0001697793],"domain_scores_gemma":[0.9976694,0.0006216682,0.0002296389,0.0006132238,0.0005921111,0.0002739004],"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":[0.00003342922,0.00001115988,0.000367793,0.0005750157,0.0000147082,0.00001388605,0.00002272417,0.000117541,0.0001337012,0.000372198,0.9968196,0.001518255],"study_design_scores_gemma":[0.00006872453,0.000008468412,0.001710686,0.000170476,0.00001390348,0.00003314578,0.00005788643,0.0001184221,0.0001818276,0.0007164154,0.9969026,0.00001737774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000396643,0.00002599614,0.00003988564,0.00002800813,0.00001085149,0.000004585071,0.998853,0.0003495062,0.0006485897],"genre_scores_gemma":[0.0001469984,0.00003379677,0.0001911687,0.00004330974,0.000003377278,0.00003849114,0.9988883,0.0001536904,0.0005009297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8269686,"threshold_uncertainty_score":0.5788478,"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."}}