{"id":"W6887089770","doi":"10.15468/dl.qtdpuv","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","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":[0.001088322,0.002050989,0.001695367,0.005372958,0.0009772368,0.002641762,0.003193796,0.002057893,0.1413552],"category_scores_gemma":[0.006251035,0.0009318761,0.001251481,0.01074097,0.0004452484,0.002340051,0.002682426,0.002087432,0.2035754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670551,"about_ca_system_score_gemma":0.002636384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413922,"about_ca_topic_score_gemma":0.03899568,"domain_scores_codex":[0.998835,0.0001538921,0.000157801,0.0004021899,0.0002618564,0.000189314],"domain_scores_gemma":[0.997393,0.0006905804,0.000262076,0.0006999228,0.0006449058,0.0003094661],"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":[0.00002959529,0.00001174461,0.0004070674,0.0005268663,0.00001732367,0.00001532484,0.00002337182,0.0001278632,0.0001105003,0.0003902544,0.9969864,0.001353568],"study_design_scores_gemma":[0.00007796592,0.000007925396,0.002045199,0.0002015002,0.00001633111,0.0000391692,0.00006924442,0.0001472106,0.0002004332,0.000780152,0.9963964,0.00001857221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004050705,0.00002627236,0.00004112184,0.00003233794,0.00001039937,0.000004967983,0.9989574,0.0003345697,0.0005525124],"genre_scores_gemma":[0.0001356739,0.00002925388,0.0001563896,0.00003528079,0.000002838136,0.00003483439,0.999116,0.0001154446,0.0003741721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8586448,"threshold_uncertainty_score":0.4728801,"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."}}