{"id":"W6905899645","doi":"10.15468/dl.qst8y3","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":[0.0009960376,0.002023046,0.001576232,0.005063891,0.0008761708,0.002544765,0.002835969,0.001993787,0.1365471],"category_scores_gemma":[0.006012398,0.0008712602,0.001178101,0.009777591,0.0004064979,0.002210786,0.002581861,0.001959882,0.2037842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015339,"about_ca_system_score_gemma":0.002343209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0195115,"about_ca_topic_score_gemma":0.03301918,"domain_scores_codex":[0.9989064,0.0001512062,0.00014522,0.0003672703,0.0002456795,0.0001842437],"domain_scores_gemma":[0.9975474,0.0006175412,0.0002601939,0.0006676229,0.0006023817,0.0003047396],"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":[0.00003168755,0.0000118967,0.0004150266,0.0005150363,0.00001695768,0.00001394112,0.00001957818,0.0001252407,0.0001067998,0.0003562148,0.9969797,0.001407907],"study_design_scores_gemma":[0.00007985147,0.000008793247,0.001989194,0.0001908479,0.00001553549,0.00003752366,0.00005847828,0.0001573841,0.0001910996,0.0007619638,0.9964926,0.00001677599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004265673,0.00002891652,0.00003754508,0.00003411845,0.00001113831,0.000005036317,0.9989535,0.0003248579,0.0005621827],"genre_scores_gemma":[0.0001466674,0.0000312291,0.0001535834,0.00003938215,0.000003402231,0.00003371902,0.9991009,0.0001008686,0.0003901253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8634529,"threshold_uncertainty_score":0.4567955,"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."}}