{"id":"W6943519927","doi":"10.15468/dl.pazy2v","title":"Occurrence Download","year":2019,"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); Feature (linguistics); 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":[0.001027865,0.001940343,0.001670845,0.005268791,0.0009673315,0.002519979,0.002863397,0.001997732,0.1610706],"category_scores_gemma":[0.006146548,0.0008704943,0.001152106,0.01020984,0.000446204,0.002192406,0.002568095,0.001925484,0.2213257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547215,"about_ca_system_score_gemma":0.002379911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203411,"about_ca_topic_score_gemma":0.03409189,"domain_scores_codex":[0.9989581,0.000142947,0.0001437224,0.0003580119,0.0002217655,0.0001754269],"domain_scores_gemma":[0.9975304,0.0007022208,0.0002457316,0.0006305766,0.0006066629,0.0002844028],"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":[0.00003188063,0.00001106027,0.0003917998,0.0006515108,0.00001718926,0.00001617215,0.00002445564,0.0001232994,0.0001323771,0.0004088001,0.9967608,0.00143071],"study_design_scores_gemma":[0.00007279719,0.000007963127,0.001763305,0.0002105998,0.00001573753,0.00003602522,0.00006485926,0.0001222879,0.0001924967,0.0007607465,0.9967359,0.00001735738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000036726,0.00002907314,0.00004007787,0.00003092745,0.00001069387,0.000004981983,0.9989353,0.0003182773,0.0005939897],"genre_scores_gemma":[0.000152117,0.00003486947,0.0001702993,0.00004197922,0.000003209584,0.00003823145,0.9990068,0.0001308251,0.0004216547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389294,"threshold_uncertainty_score":0.5388348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}