{"id":"W6943437778","doi":"10.15468/dl.nrb4n4","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); Range (aeronautics); Download; Identification (biology); Set (abstract data type)","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":[0.0008848066,0.002048376,0.001594872,0.00497237,0.0009288715,0.002555691,0.002725073,0.001872886,0.1651414],"category_scores_gemma":[0.00531617,0.0009511024,0.001156782,0.009738657,0.0004216046,0.002270259,0.002518545,0.001864303,0.2354452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424007,"about_ca_system_score_gemma":0.002149488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01741075,"about_ca_topic_score_gemma":0.03078016,"domain_scores_codex":[0.9989687,0.0001366933,0.0001316412,0.0003777896,0.0002145724,0.0001705705],"domain_scores_gemma":[0.9976894,0.0006018207,0.0002308719,0.0006223242,0.0005867783,0.0002688346],"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":[0.00003428719,0.00001168116,0.000387318,0.0005602875,0.00001540376,0.00001343968,0.0000206094,0.00012203,0.0001321864,0.0003718994,0.996819,0.001511834],"study_design_scores_gemma":[0.00007298902,0.000009179917,0.001792124,0.000170271,0.00001459093,0.00003364269,0.00005794753,0.0001326605,0.0001882655,0.0007686756,0.9967412,0.00001825383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004023484,0.00002521169,0.00003970402,0.00002670523,0.00001093325,0.00000457056,0.9989294,0.0003214647,0.0006017843],"genre_scores_gemma":[0.0001434123,0.00003218395,0.0001844847,0.00004235422,0.000003445024,0.00003799096,0.9989489,0.000130995,0.0004762812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348585,"threshold_uncertainty_score":0.5524532,"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."}}