{"id":"W6887181042","doi":"10.15468/dl.ujpm4n","title":"Occurrence Download","year":2021,"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; 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":[0.0009298823,0.00204304,0.001662198,0.005661433,0.000923197,0.002428463,0.002831732,0.001982462,0.1582727],"category_scores_gemma":[0.005736177,0.0008737867,0.001173381,0.01130044,0.0004399903,0.00227032,0.00245891,0.001884169,0.2228727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177209,"about_ca_system_score_gemma":0.00255869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02939728,"about_ca_topic_score_gemma":0.04780604,"domain_scores_codex":[0.9989275,0.0001310746,0.0001381304,0.0003614063,0.0002532407,0.0001885771],"domain_scores_gemma":[0.9974219,0.0006606127,0.0002468722,0.0006673864,0.0006918554,0.0003114546],"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":[0.00002851621,0.00001002628,0.0003570266,0.0004926865,0.00001421652,0.00001428654,0.0000197868,0.0001229455,0.0001103135,0.0003197526,0.9971168,0.001393581],"study_design_scores_gemma":[0.00007012438,0.000008361212,0.002108046,0.0001858716,0.00001480359,0.00003671513,0.00007180513,0.0001524574,0.0002042384,0.0006776566,0.9964519,0.00001810675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003541883,0.00002270197,0.00003321376,0.00002771738,0.000008874744,0.00000456453,0.9989976,0.0003230174,0.0005468416],"genre_scores_gemma":[0.0001347007,0.00002740383,0.0001489232,0.00003258692,0.000002841223,0.00003108306,0.9990941,0.0001108092,0.0004176047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8417273,"threshold_uncertainty_score":0.5294749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}