{"id":"W6887097128","doi":"10.15468/dl.o9zdou","title":"Occurrence Download","year":2016,"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); Data set; 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":[0.001054807,0.002078998,0.001684206,0.005715481,0.0009697163,0.002712461,0.003077144,0.002065136,0.1505747],"category_scores_gemma":[0.006176692,0.0009026031,0.001253329,0.01100615,0.0004492962,0.002341982,0.002796473,0.002031021,0.2051814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673665,"about_ca_system_score_gemma":0.002555917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02315259,"about_ca_topic_score_gemma":0.03662179,"domain_scores_codex":[0.9988502,0.0001427927,0.0001576096,0.0003799554,0.0002710972,0.0001982554],"domain_scores_gemma":[0.9975477,0.0006421824,0.000250914,0.0006649321,0.0005936453,0.0003006349],"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":[0.00003225144,0.00001156978,0.0004155229,0.0005705724,0.00001791,0.00001737661,0.00002474916,0.0001315875,0.0001308046,0.0004278853,0.9967218,0.001498076],"study_design_scores_gemma":[0.00007294075,0.000007890369,0.001957771,0.0001987216,0.00001587117,0.00004242288,0.00006517724,0.0001429577,0.0002051222,0.0007490962,0.996524,0.00001797036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004217667,0.00002875804,0.00004410477,0.00003295498,0.00001090049,0.000005018341,0.9988387,0.0003915014,0.0006060394],"genre_scores_gemma":[0.0001444932,0.00003146328,0.0001583402,0.00003709622,0.00000289166,0.00003336869,0.9990776,0.0001292154,0.0003855978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494253,"threshold_uncertainty_score":0.5037225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}