{"id":"W6943434955","doi":"10.15468/dl.oyrjva","title":"Occurrence Download","year":2018,"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); Field (mathematics); Data collection","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":[0.001036342,0.002417052,0.002052949,0.005503342,0.001351968,0.003739846,0.003473416,0.002690251,0.188314],"category_scores_gemma":[0.007624168,0.001145988,0.001841795,0.01048281,0.0004365199,0.004092191,0.003586829,0.00252428,0.316516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932481,"about_ca_system_score_gemma":0.002667849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02237658,"about_ca_topic_score_gemma":0.03406418,"domain_scores_codex":[0.9985324,0.0001753261,0.0001927311,0.0005350521,0.0003267773,0.000237679],"domain_scores_gemma":[0.9971008,0.0007324927,0.0002162047,0.000813442,0.0008442586,0.0002927097],"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":[0.00004458318,0.00001369332,0.0004058387,0.0006018572,0.00001780777,0.0000219213,0.00002742115,0.0001153951,0.0001345606,0.0004400601,0.9956364,0.002540611],"study_design_scores_gemma":[0.00005459946,0.000009591176,0.001246615,0.0001732933,0.00001351046,0.00004073714,0.0000821102,0.0001931928,0.0002015911,0.0008812181,0.9970847,0.00001887681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006293676,0.00005840265,0.0001100342,0.00007824938,0.00002868194,0.000009521841,0.996869,0.001496278,0.001286924],"genre_scores_gemma":[0.0002191794,0.00006216026,0.0004076169,0.00009669243,0.000006774096,0.00005206657,0.9978739,0.0004401759,0.0008413861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.811686,"threshold_uncertainty_score":0.6299731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}