{"id":"W6905709203","doi":"10.15468/dl.l0ymju","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); Reference data; 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":[0.001079248,0.002029256,0.001722479,0.005443481,0.0009933079,0.002770557,0.00315211,0.002144007,0.1353954],"category_scores_gemma":[0.006360179,0.0008661671,0.001215952,0.0109313,0.0004591128,0.002439885,0.002680232,0.002125591,0.2041104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590127,"about_ca_system_score_gemma":0.00254811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987487,"about_ca_topic_score_gemma":0.03437284,"domain_scores_codex":[0.9988666,0.0001587207,0.0001472722,0.0003856035,0.0002557422,0.000186072],"domain_scores_gemma":[0.997433,0.0007018382,0.0002539912,0.0006689544,0.0006403126,0.0003019582],"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":[0.00002883865,0.00001177268,0.000412145,0.000550359,0.00001773325,0.00001609734,0.00002305946,0.0001289999,0.0001115374,0.0004039721,0.9969209,0.001374661],"study_design_scores_gemma":[0.00007512911,0.00000792575,0.001855357,0.0002018975,0.00001605195,0.0000394764,0.00007210881,0.0001512365,0.0001892014,0.0008632572,0.9965102,0.00001825322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004464403,0.00003426589,0.00004707989,0.00003746952,0.00001243452,0.000005236984,0.9988015,0.0003851086,0.0006322716],"genre_scores_gemma":[0.000147077,0.00003408824,0.0001674436,0.00003893233,0.0000032194,0.00003531878,0.9990841,0.0001194122,0.0003703691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8646046,"threshold_uncertainty_score":0.4529428,"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."}}