{"id":"W6905935400","doi":"10.15468/dl.tnmhx7","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":"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":[0.001110261,0.00197614,0.00165506,0.005383431,0.00104097,0.002735431,0.002995749,0.002049847,0.1646453],"category_scores_gemma":[0.006277183,0.0009818962,0.001175954,0.01031406,0.00047101,0.0024162,0.002691462,0.002049368,0.230798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634903,"about_ca_system_score_gemma":0.002494542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195135,"about_ca_topic_score_gemma":0.03703444,"domain_scores_codex":[0.9988415,0.0001554504,0.0001524789,0.000401666,0.0002609332,0.000188003],"domain_scores_gemma":[0.9973432,0.0007703626,0.00024751,0.0006838035,0.0006404358,0.0003145889],"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":[0.00002889956,0.00001086031,0.0003546305,0.0005355424,0.00001499606,0.00001517539,0.00002436715,0.000114825,0.0001197352,0.0003844891,0.9970261,0.001370256],"study_design_scores_gemma":[0.00006773166,0.000007479297,0.001748138,0.0001902972,0.00001435009,0.00003820155,0.00007431252,0.0001414414,0.0001898182,0.0007139433,0.9967968,0.00001748844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000038709,0.00002523881,0.0000472617,0.00003290028,0.00001154325,0.000004866742,0.9988495,0.0003726275,0.0006172443],"genre_scores_gemma":[0.0001405309,0.00003078346,0.0001869965,0.00003952358,0.0000030808,0.00003821864,0.9989752,0.0001537092,0.0004320886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8353547,"threshold_uncertainty_score":0.5507934,"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."}}