{"id":"W6887278542","doi":"10.15468/dl.t9wl7j","title":"Occurrence Download","year":2017,"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); Confidentiality","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":[0.0008877001,0.0020094,0.001511999,0.005761132,0.001025187,0.002995066,0.002898963,0.002133795,0.1360979],"category_scores_gemma":[0.006197311,0.0009037185,0.001289918,0.01132232,0.0004296315,0.002580977,0.002616296,0.0021449,0.205989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736992,"about_ca_system_score_gemma":0.002520202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019211,"about_ca_topic_score_gemma":0.03165967,"domain_scores_codex":[0.9988901,0.0001466229,0.0001561144,0.0003855773,0.0002408476,0.0001806875],"domain_scores_gemma":[0.9976379,0.0006642772,0.0002220498,0.0006075308,0.000614033,0.0002543144],"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":[0.00002871257,0.00001109716,0.0004484203,0.0005879224,0.0000162795,0.00001815557,0.00002506434,0.0001292107,0.00009942849,0.0004438955,0.9965159,0.001675824],"study_design_scores_gemma":[0.00006054249,0.000006887309,0.001644457,0.0001949382,0.00001388514,0.00004223948,0.00007627276,0.0001656029,0.0001687798,0.0007802238,0.9968302,0.0000159426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004802812,0.00003550417,0.00005349576,0.00004361236,0.00001421499,0.000005586792,0.9986418,0.000437775,0.0007200025],"genre_scores_gemma":[0.0001674859,0.00004236877,0.0002058078,0.00004405559,0.000003963551,0.00003979578,0.9988891,0.0001435574,0.0004638605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8639021,"threshold_uncertainty_score":0.4552929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}