{"id":"W6943250226","doi":"10.15468/dl.t35tvv","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); Order (exchange); 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":[0.0009506118,0.001837662,0.001528816,0.005882267,0.0009689785,0.002421612,0.002699993,0.001759547,0.1530554],"category_scores_gemma":[0.005918886,0.0008103073,0.001145719,0.01070781,0.000417659,0.002142692,0.002734361,0.001927217,0.2214963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613831,"about_ca_system_score_gemma":0.002884583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02610154,"about_ca_topic_score_gemma":0.04761963,"domain_scores_codex":[0.9988726,0.0001389317,0.0001362004,0.0003815381,0.00027253,0.0001981243],"domain_scores_gemma":[0.9973188,0.000629948,0.0002514059,0.0007248627,0.0007316059,0.0003432473],"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":[0.00002861679,0.000009340009,0.0003748878,0.0005234197,0.00001526363,0.00001320764,0.00002305719,0.0001041881,0.0001242674,0.0003462665,0.9969124,0.001525065],"study_design_scores_gemma":[0.00005496798,0.000007238761,0.001954794,0.000175696,0.00001339509,0.00003217766,0.00006501925,0.000111453,0.0001768872,0.0006050871,0.9967875,0.00001571265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004187515,0.00002855226,0.00004066878,0.00003131044,0.00001151881,0.000005289824,0.9988042,0.0003982541,0.0006382991],"genre_scores_gemma":[0.0001517767,0.00003318649,0.0001801111,0.00003568209,0.000003381298,0.00003449891,0.9989698,0.0001347685,0.0004568063],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469446,"threshold_uncertainty_score":0.5120213,"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."}}