{"id":"W6943418186","doi":"10.15468/dl.mr8t9f","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); Range (aeronautics); Download; 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":[0.0009157621,0.002008791,0.001615757,0.005048824,0.001004986,0.002634091,0.002769855,0.001992329,0.1616034],"category_scores_gemma":[0.006059343,0.0009433127,0.00116632,0.01011656,0.0004302869,0.002412405,0.00250656,0.00193514,0.218164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597041,"about_ca_system_score_gemma":0.002255946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997253,"about_ca_topic_score_gemma":0.0338316,"domain_scores_codex":[0.9989048,0.0001503431,0.0001449909,0.000387101,0.0002325377,0.0001800693],"domain_scores_gemma":[0.9975871,0.0006795757,0.0002374527,0.0005993598,0.0006222557,0.0002743295],"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":[0.00003152379,0.00001070071,0.0003695031,0.0005815584,0.00001444119,0.00001461457,0.00002028162,0.0001198349,0.0001111796,0.0003878138,0.9969319,0.001406657],"study_design_scores_gemma":[0.00007083685,0.000008623121,0.001721776,0.0001932986,0.00001397798,0.00003626884,0.00005989847,0.0001333534,0.0001687949,0.000790788,0.9967844,0.00001793027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003965825,0.00002951922,0.00003883308,0.00003267791,0.00001131274,0.000004698235,0.9988815,0.000305047,0.0006566514],"genre_scores_gemma":[0.000157822,0.00003827069,0.0001817097,0.00004703439,0.000003642637,0.00004103536,0.9988884,0.0001324697,0.0005096767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383966,"threshold_uncertainty_score":0.5406172,"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."}}