{"id":"W6962282803","doi":"10.15468/dl.mchuep","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":"Matching (statistics); Download; Range (aeronautics); 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":[0.0009126581,0.00205605,0.001639709,0.005151481,0.001032318,0.002529073,0.002764709,0.001996005,0.1571559],"category_scores_gemma":[0.005643048,0.0009321709,0.001190674,0.01041856,0.0004341338,0.002318947,0.002578312,0.001926769,0.2179355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609423,"about_ca_system_score_gemma":0.002325335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176039,"about_ca_topic_score_gemma":0.03688212,"domain_scores_codex":[0.9989192,0.0001405409,0.0001387449,0.0003900309,0.0002311171,0.0001803307],"domain_scores_gemma":[0.9976829,0.0006315751,0.0002251168,0.0005796868,0.0006117857,0.0002688349],"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":[0.00003501352,0.00001175001,0.0003980215,0.0006281172,0.00001596039,0.00001640284,0.00002307265,0.0001247404,0.0001413357,0.0003997053,0.9967446,0.00146128],"study_design_scores_gemma":[0.00007308111,0.000009400759,0.001850377,0.0001837457,0.00001497987,0.00003756336,0.00006118046,0.0001288085,0.0001841151,0.0007303568,0.996708,0.00001830018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004103899,0.00002755178,0.00003862312,0.00003079638,0.00001116565,0.000004529109,0.9988998,0.0003178586,0.0006287035],"genre_scores_gemma":[0.0001408184,0.00003470068,0.0001773699,0.0000436201,0.000003246392,0.0000366079,0.9989551,0.000131249,0.0004773637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8428441,"threshold_uncertainty_score":0.5257388,"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."}}