{"id":"W6905942618","doi":"10.15468/dl.p1ev2x","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":[0.001034168,0.00208538,0.001721638,0.005533829,0.0009413823,0.002752302,0.003009266,0.002107118,0.1459681],"category_scores_gemma":[0.006220134,0.0009149645,0.001188808,0.01093292,0.0004386647,0.002377076,0.002771329,0.002099102,0.2043898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671023,"about_ca_system_score_gemma":0.002569772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02342906,"about_ca_topic_score_gemma":0.03857478,"domain_scores_codex":[0.9989029,0.0001400671,0.0001469848,0.0003682032,0.0002540087,0.0001878357],"domain_scores_gemma":[0.9975153,0.0006700255,0.0002568222,0.0006499488,0.0005961035,0.0003117748],"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":[0.00003092504,0.00001171175,0.000421847,0.0005806133,0.00001719985,0.00001741597,0.00002525698,0.0001310063,0.0001185337,0.0004137589,0.9968507,0.00138104],"study_design_scores_gemma":[0.0000805386,0.000008133785,0.002084658,0.0002120214,0.00001605244,0.00004300389,0.00007215049,0.0001534842,0.0001933222,0.0007827005,0.9963353,0.00001867523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004059207,0.0000269278,0.00004062766,0.00003181718,0.00001013139,0.00000462963,0.9989352,0.0003494688,0.0005606572],"genre_scores_gemma":[0.0001448488,0.00003098018,0.0001607783,0.00003464239,0.00000282944,0.00003376163,0.9990897,0.0001214003,0.0003809911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8540319,"threshold_uncertainty_score":0.488312,"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."}}