{"id":"W6905814277","doi":"10.15468/dl.tbv39m","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); 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":[0.0009352312,0.002003975,0.001562657,0.004836207,0.0009848389,0.002588497,0.002739959,0.001861764,0.1527689],"category_scores_gemma":[0.005588192,0.0008917111,0.001176453,0.01014375,0.0004226858,0.002300364,0.002579082,0.00194575,0.2284063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595258,"about_ca_system_score_gemma":0.002588006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0297445,"about_ca_topic_score_gemma":0.05182106,"domain_scores_codex":[0.9989348,0.0001384241,0.0001237922,0.0003719655,0.000250306,0.0001806139],"domain_scores_gemma":[0.9976085,0.0005996597,0.000214076,0.0006513998,0.0006350132,0.0002912681],"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":[0.00002491066,0.000009155551,0.0003608544,0.0003982522,0.0000137396,0.00001237539,0.00002106848,0.0001114699,0.0001001315,0.0003516907,0.9972976,0.001298836],"study_design_scores_gemma":[0.00005599972,0.000006794341,0.001875346,0.0001533454,0.00001302059,0.0000311631,0.000067669,0.0001423604,0.0001955138,0.0007633326,0.9966785,0.000017019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000385329,0.00002323081,0.00004607595,0.00003171504,0.00001117307,0.000004405006,0.998794,0.000413672,0.0006371982],"genre_scores_gemma":[0.0001445016,0.00002702183,0.0001775443,0.00003840997,0.00000303638,0.00003188963,0.9989344,0.0001510479,0.0004920919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8472311,"threshold_uncertainty_score":0.5110629,"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."}}