{"id":"W6943473586","doi":"10.15468/dl.zd2n1y","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008848424,0.002072637,0.001628824,0.005451852,0.0008716036,0.002625465,0.002800292,0.001799189,0.1497752],"category_scores_gemma":[0.005946795,0.0009227493,0.001165483,0.01160054,0.0004041548,0.00238065,0.00269104,0.001857921,0.2137654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647415,"about_ca_system_score_gemma":0.002636726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02534401,"about_ca_topic_score_gemma":0.04278146,"domain_scores_codex":[0.9989206,0.0001326265,0.0001490188,0.0003742522,0.000244201,0.0001793756],"domain_scores_gemma":[0.9975278,0.0006143248,0.0002718112,0.0006292915,0.0006601891,0.0002966083],"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":[0.00002893255,0.000009390212,0.0004041577,0.0005075299,0.00001494972,0.00001340301,0.00002147066,0.0001112044,0.0001014427,0.0004262053,0.9969607,0.001400528],"study_design_scores_gemma":[0.00006099507,0.000006873046,0.00176567,0.000172869,0.00001371582,0.00003272702,0.00005373194,0.000118363,0.0001720406,0.0007493208,0.996837,0.00001670529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003652951,0.00002579255,0.00003686847,0.00002825772,0.00001009202,0.000004000701,0.9989011,0.0003222684,0.0006349519],"genre_scores_gemma":[0.0001376609,0.00003585977,0.0001566452,0.00003767255,0.000003108438,0.00003131688,0.9989733,0.0001271262,0.0004974343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8502248,"threshold_uncertainty_score":0.501048,"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."}}