{"id":"W6905984037","doi":"10.15468/dl.udicgi","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); The Internet; 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":[0.001053304,0.002009174,0.001647542,0.005124099,0.0009586274,0.002650115,0.003104441,0.002164909,0.1426975],"category_scores_gemma":[0.006304508,0.0008821456,0.001226872,0.01007081,0.0004385221,0.002407763,0.002596813,0.002047337,0.2059285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558362,"about_ca_system_score_gemma":0.002342229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905493,"about_ca_topic_score_gemma":0.03237664,"domain_scores_codex":[0.9989029,0.0001519457,0.0001460824,0.0003812548,0.00023945,0.0001783143],"domain_scores_gemma":[0.9974762,0.0006776057,0.0002519756,0.0006822133,0.000620582,0.0002914386],"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":[0.00002963686,0.00001230162,0.0004212946,0.0005175751,0.00001663927,0.00001526189,0.00002097092,0.0001266231,0.0001062051,0.0003701158,0.9970101,0.001353236],"study_design_scores_gemma":[0.00008095172,0.00000885137,0.00206764,0.0002061339,0.0000158579,0.0000402452,0.00006795093,0.0001606452,0.0001916044,0.000804138,0.9963379,0.00001817133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004563968,0.00003089301,0.00004157372,0.00003587393,0.00001217334,0.000005243733,0.9988952,0.0003346963,0.0005987249],"genre_scores_gemma":[0.0001511078,0.00003103314,0.000160408,0.00003946687,0.000003402732,0.00003683825,0.999065,0.0001097253,0.0004029648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8573025,"threshold_uncertainty_score":0.4773706,"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."}}