{"id":"W6905917908","doi":"10.15468/dl.vbsrsh","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":[0.001087654,0.002056218,0.001692542,0.00540758,0.0009876866,0.002654123,0.003195934,0.002059734,0.1407482],"category_scores_gemma":[0.006255663,0.0009265922,0.001248885,0.01081152,0.0004472767,0.002353806,0.002687622,0.002091177,0.2048238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683662,"about_ca_system_score_gemma":0.002661805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440379,"about_ca_topic_score_gemma":0.03975807,"domain_scores_codex":[0.9988341,0.0001541196,0.0001575387,0.0004007122,0.0002637811,0.0001898576],"domain_scores_gemma":[0.9973831,0.0006895616,0.0002620261,0.0007020039,0.0006505431,0.0003127814],"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":[0.00002931082,0.0000117067,0.0004050129,0.0005170172,0.00001699063,0.00001525517,0.00002321863,0.0001266239,0.0001090292,0.000391078,0.9970114,0.001343322],"study_design_scores_gemma":[0.0000760989,0.000007841355,0.002017619,0.0001978361,0.00001593903,0.00003896959,0.00006914823,0.0001470011,0.0001983876,0.000780759,0.9964319,0.00001840947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004057369,0.00002637508,0.00004099523,0.00003250625,0.00001045233,0.000004942835,0.9989504,0.0003361413,0.0005576125],"genre_scores_gemma":[0.0001348927,0.00002921766,0.0001552817,0.0000350995,0.000002839432,0.00003422184,0.9991189,0.0001142596,0.0003751957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8592518,"threshold_uncertainty_score":0.4708496,"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."}}