{"id":"W6906078913","doi":"10.15468/dl.y8sjds","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); Set (abstract data type); 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":[0.001046646,0.001892708,0.00159415,0.005407177,0.0009229828,0.002546616,0.002905677,0.001992076,0.1427666],"category_scores_gemma":[0.006285689,0.000877401,0.001139171,0.01037179,0.0004372534,0.002228467,0.002558441,0.001971592,0.1992567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542815,"about_ca_system_score_gemma":0.002418227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956874,"about_ca_topic_score_gemma":0.0337203,"domain_scores_codex":[0.9989177,0.0001479896,0.0001475615,0.0003714453,0.0002377136,0.0001776844],"domain_scores_gemma":[0.9973841,0.0007122876,0.0002739531,0.0006965801,0.0006209596,0.0003121133],"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":[0.0000300853,0.00001233587,0.0004460807,0.0005518533,0.00001649175,0.00001581894,0.0000232666,0.0001265298,0.0001104631,0.0003870087,0.9968821,0.001398002],"study_design_scores_gemma":[0.00007782922,0.000008834438,0.002165182,0.0002137005,0.00001575376,0.00004240664,0.00007088067,0.0001443945,0.000186272,0.0007493703,0.9963078,0.00001754068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004869799,0.0000303296,0.00004177784,0.00003446467,0.00001165825,0.000005288908,0.9989141,0.0003144687,0.0005992206],"genre_scores_gemma":[0.0001605299,0.00003239808,0.0001619064,0.000038545,0.000003351677,0.00003769622,0.9990342,0.0001095384,0.0004219157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8572334,"threshold_uncertainty_score":0.4776018,"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."}}