{"id":"W6962072654","doi":"10.15468/dl.nvivzx","title":"Occurrence Download","year":2018,"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); Set (abstract data type); Data set","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":[0.0009798598,0.001894181,0.001644713,0.005305145,0.000949826,0.002637362,0.002952739,0.002002724,0.1488936],"category_scores_gemma":[0.00615807,0.0008584125,0.001148527,0.01081742,0.0004203147,0.002253365,0.002535325,0.002010335,0.2024756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523064,"about_ca_system_score_gemma":0.0023917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037756,"about_ca_topic_score_gemma":0.03413046,"domain_scores_codex":[0.9989644,0.0001416617,0.0001328423,0.0003543572,0.000230922,0.0001757432],"domain_scores_gemma":[0.9975555,0.0006764616,0.0002365808,0.0006322759,0.0006176157,0.0002816065],"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":[0.00002881051,0.00001127138,0.0004134458,0.0005627486,0.00001698504,0.00001535951,0.00002413815,0.0001260272,0.000109881,0.0004213538,0.9967789,0.001491205],"study_design_scores_gemma":[0.00006867378,0.000007528631,0.001894008,0.000202802,0.00001527363,0.00003570419,0.0000685764,0.0001417076,0.000171506,0.0007752444,0.9966025,0.00001650041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004294885,0.00003153565,0.00004409299,0.0000339064,0.00001085333,0.000004836942,0.9988806,0.0003500453,0.0006012924],"genre_scores_gemma":[0.0001564095,0.00003437455,0.0001730279,0.00003899023,0.000003219514,0.00003624894,0.9990214,0.0001252446,0.0004110712],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8511065,"threshold_uncertainty_score":0.4980986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}