{"id":"W6887263871","doi":"10.15468/dl.uhxmrx","title":"Occurrence Download","year":2022,"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); Set (abstract data type); 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":[0.001144662,0.002021016,0.001703982,0.005309699,0.001089757,0.002922626,0.00305671,0.002017663,0.1883659],"category_scores_gemma":[0.00671015,0.001033414,0.001205937,0.01047876,0.000468527,0.002564868,0.002806306,0.002124506,0.256595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620563,"about_ca_system_score_gemma":0.002436554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145879,"about_ca_topic_score_gemma":0.03496911,"domain_scores_codex":[0.9988388,0.0001528203,0.0001512495,0.0004068964,0.0002598406,0.0001903865],"domain_scores_gemma":[0.9973137,0.000763966,0.0002453542,0.0007148901,0.0006538886,0.0003081871],"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":[0.00002609429,0.000009302511,0.0003089056,0.0004890657,0.00001373174,0.00001347075,0.00002276217,0.00009991503,0.0001005705,0.0003724374,0.9972676,0.001276216],"study_design_scores_gemma":[0.00006092703,0.000006217011,0.001447769,0.0001797648,0.00001312181,0.00003306142,0.00006580701,0.000117458,0.000165028,0.000742938,0.9971516,0.00001642173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003256909,0.00002346552,0.00004763073,0.00003260514,0.00001144968,0.000004797938,0.9987913,0.0003818103,0.0006743766],"genre_scores_gemma":[0.0001392915,0.00003241379,0.0001966233,0.00004312145,0.000003317131,0.00004095678,0.9988571,0.0001909171,0.0004961779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8116341,"threshold_uncertainty_score":0.6301466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}