{"id":"W6961890721","doi":"10.15468/dl.m3jgod","title":"Occurrence Download","year":2020,"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); Data set; Statistical analysis","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":[0.0009209969,0.001718155,0.001446899,0.004871327,0.001040214,0.002409361,0.002718237,0.001980978,0.1702242],"category_scores_gemma":[0.005850959,0.0008787166,0.001112402,0.009754082,0.0004246595,0.002457917,0.002466338,0.001918993,0.2349019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181145,"about_ca_system_score_gemma":0.002550331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02476898,"about_ca_topic_score_gemma":0.03797307,"domain_scores_codex":[0.998983,0.0001228892,0.0001399553,0.0003489685,0.0002231719,0.000182095],"domain_scores_gemma":[0.9975858,0.0006216748,0.000235006,0.0005856362,0.0006888512,0.0002830737],"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":[0.00003388148,0.00001148595,0.0004580228,0.0005184024,0.00001223783,0.00001619936,0.00002394263,0.000123901,0.0001323145,0.0003955287,0.996597,0.001677112],"study_design_scores_gemma":[0.00006356552,0.00000858968,0.002028216,0.0001900376,0.00001242776,0.00003869352,0.00008311516,0.0001614207,0.0002063612,0.000651417,0.9965389,0.00001719018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003750973,0.00001905993,0.00003868725,0.00003142286,0.00001103963,0.000004311145,0.9989775,0.0002897266,0.0005907472],"genre_scores_gemma":[0.0001442551,0.00002828301,0.0001852943,0.00004122813,0.000003259813,0.00003624061,0.9989249,0.0001138346,0.0005226275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297758,"threshold_uncertainty_score":0.5694567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}