{"id":"W6924623269","doi":"10.15468/dl.ve7e4u","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":[0.001125096,0.001995431,0.001653768,0.005152838,0.001036289,0.002721111,0.002886735,0.002036707,0.1713891],"category_scores_gemma":[0.006364913,0.0009814603,0.001118763,0.01008857,0.0004609898,0.002353885,0.002701474,0.002065923,0.2271516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723203,"about_ca_system_score_gemma":0.002445935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02334486,"about_ca_topic_score_gemma":0.03734228,"domain_scores_codex":[0.9989136,0.0001413153,0.0001383638,0.0003726601,0.0002534885,0.000180451],"domain_scores_gemma":[0.9974756,0.0007260498,0.0002418971,0.0006532411,0.0006144878,0.0002887962],"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":[0.00002741586,0.0000103961,0.0003445473,0.0005114317,0.00001446455,0.00001434475,0.00002519335,0.0001179106,0.0001163042,0.0004195648,0.9970649,0.001333535],"study_design_scores_gemma":[0.00006515088,0.000006595391,0.001669714,0.0001778164,0.00001344357,0.00003420047,0.00006814509,0.0001314031,0.0001819233,0.0007377545,0.9968966,0.00001728521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003518141,0.00002331396,0.00004605852,0.00003217716,0.00001064016,0.00000465769,0.9988161,0.0003750927,0.0006567769],"genre_scores_gemma":[0.0001551047,0.00003089409,0.0002041987,0.00004083893,0.000003118565,0.00004064741,0.998886,0.000181512,0.0004576885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8286108,"threshold_uncertainty_score":0.5733538,"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."}}