{"id":"W6905787853","doi":"10.15468/dl.qagkq4","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); Download; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0008944264,0.002068153,0.001568482,0.005010094,0.00100345,0.002427064,0.002804325,0.001932485,0.1622462],"category_scores_gemma":[0.005331555,0.000936724,0.001154231,0.009898741,0.0004565102,0.00222786,0.002588128,0.001958193,0.2265391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149238,"about_ca_system_score_gemma":0.002244531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039174,"about_ca_topic_score_gemma":0.03541396,"domain_scores_codex":[0.9989939,0.0001338452,0.0001225395,0.0003669962,0.000211875,0.0001707846],"domain_scores_gemma":[0.9977636,0.0005960322,0.0002220945,0.0005890213,0.0005628585,0.0002663957],"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":[0.00003019702,0.00001101235,0.0003688414,0.0005106747,0.00001368858,0.00001326517,0.00002133433,0.0001139933,0.0001178555,0.0003558823,0.9970033,0.001439987],"study_design_scores_gemma":[0.00007017837,0.000008698142,0.00178192,0.0001687235,0.00001342839,0.00003595127,0.00006261623,0.0001267545,0.0001791558,0.0007477081,0.9967874,0.0000174475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004480353,0.00002764449,0.00004271405,0.00003069199,0.00001264524,0.000004792978,0.9988135,0.0003571599,0.0006660277],"genre_scores_gemma":[0.0001532805,0.00003289348,0.0001951388,0.00004513056,0.000003628697,0.0000410739,0.9988726,0.0001521986,0.00050411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8377538,"threshold_uncertainty_score":0.5427676,"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."}}