{"id":"W6961963819","doi":"10.15468/dl.otwkev","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":[0.0009879698,0.001981722,0.001643292,0.005523633,0.0009098341,0.002674009,0.002902106,0.001988481,0.1533504],"category_scores_gemma":[0.006180553,0.0008568999,0.001165302,0.01143462,0.0004443024,0.002320165,0.002652889,0.001980364,0.2130874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155949,"about_ca_system_score_gemma":0.002409941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080022,"about_ca_topic_score_gemma":0.03483142,"domain_scores_codex":[0.9989705,0.0001383383,0.0001343872,0.0003510746,0.0002307662,0.0001749458],"domain_scores_gemma":[0.9975832,0.0006638177,0.0002524317,0.0006344728,0.0005726854,0.0002933363],"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":[0.00003013544,0.00001120794,0.0004298952,0.0005578737,0.00001694523,0.00001568078,0.0000242589,0.0001339426,0.0001105924,0.0004162485,0.9967698,0.001483505],"study_design_scores_gemma":[0.00007078879,0.000007796743,0.001938392,0.0002089544,0.00001520411,0.00003874369,0.00007132052,0.0001377644,0.0001751715,0.0007975961,0.9965215,0.00001693494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004267928,0.00003085057,0.00003984084,0.00003236499,0.00001068593,0.000004425287,0.9989022,0.0003234535,0.0006135114],"genre_scores_gemma":[0.0001549243,0.00003450109,0.000156908,0.00003675986,0.000003158611,0.00003251353,0.9990358,0.0001208104,0.0004245685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466495,"threshold_uncertainty_score":0.5130084,"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."}}