{"id":"W6905880536","doi":"10.15468/dl.npkxpl","title":"Occurrence Download","year":2015,"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; Set (abstract data type)","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":[0.000988961,0.001910116,0.001658521,0.005429314,0.0009206193,0.002674024,0.002928684,0.001922356,0.1477109],"category_scores_gemma":[0.005887933,0.0009005844,0.001179396,0.0113005,0.0004186592,0.002308305,0.002622057,0.001933746,0.2061354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621648,"about_ca_system_score_gemma":0.002402261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02400911,"about_ca_topic_score_gemma":0.03854042,"domain_scores_codex":[0.9989269,0.0001432163,0.0001384372,0.0003719613,0.0002394484,0.0001799469],"domain_scores_gemma":[0.9976661,0.00062519,0.000242286,0.0006184971,0.0005675941,0.0002803972],"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":[0.00002674298,0.000009960259,0.0004135372,0.0005287529,0.0000172265,0.0000138858,0.00002388472,0.0001298847,0.00009812495,0.0004204224,0.996899,0.001418547],"study_design_scores_gemma":[0.00006252802,0.000007040067,0.0019921,0.0001912973,0.00001574149,0.00003484992,0.00006749148,0.000148931,0.000163229,0.0007629211,0.9965373,0.00001660506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004202291,0.00003155055,0.00004493934,0.0000322824,0.00001062506,0.000004367939,0.9988751,0.0003498878,0.0006093275],"genre_scores_gemma":[0.0001538761,0.00003547808,0.000162889,0.00003769573,0.000002977239,0.00003168347,0.9990144,0.0001228772,0.0004380842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8522891,"threshold_uncertainty_score":0.4941422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}