{"id":"W6962240172","doi":"10.15468/dl.rchmet","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[0.00101362,0.00207468,0.0015762,0.005269943,0.001118048,0.00274898,0.003005163,0.002134335,0.1314676],"category_scores_gemma":[0.005701162,0.0009054129,0.001163267,0.01067791,0.0005114809,0.002294763,0.002697518,0.002073343,0.204425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713097,"about_ca_system_score_gemma":0.002718242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02781716,"about_ca_topic_score_gemma":0.04953489,"domain_scores_codex":[0.9988437,0.0001647019,0.0001452583,0.0003970663,0.0002665064,0.000182788],"domain_scores_gemma":[0.9975839,0.0006275062,0.000224967,0.0006449653,0.0006245437,0.0002941357],"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":[0.00002681118,0.00001088522,0.0003336965,0.0004306133,0.00001279199,0.00001462118,0.00002406712,0.0001036085,0.00009872321,0.0003988035,0.9974083,0.00113711],"study_design_scores_gemma":[0.00006409242,0.000006863675,0.001671334,0.0001545229,0.00001185369,0.00003719676,0.00007565463,0.0001247639,0.0001620139,0.0006923563,0.9969828,0.00001653692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000439651,0.00002633205,0.00004145786,0.00003482928,0.00001142433,0.000005227225,0.9988407,0.0003328764,0.0006632012],"genre_scores_gemma":[0.000136289,0.00002884153,0.0001683902,0.00003923451,0.000002935651,0.00003530384,0.9990081,0.0001212235,0.000459687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8685324,"threshold_uncertainty_score":0.439803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050028289751169,"score_gpt":0.2363927744657073,"score_spread":0.2058924915681956,"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."}}