{"id":"W6924675954","doi":"10.15468/dl.p29kb3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality; Order (exchange)","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":[0.0009512555,0.001826046,0.001418475,0.005247847,0.001056844,0.002756976,0.002747642,0.001904027,0.1652539],"category_scores_gemma":[0.006397914,0.0008864006,0.001158731,0.009946111,0.0004552966,0.002384081,0.002680506,0.001997401,0.2420734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604666,"about_ca_system_score_gemma":0.002401089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02507371,"about_ca_topic_score_gemma":0.04072032,"domain_scores_codex":[0.9989863,0.0001309978,0.0001274268,0.0003513024,0.0002384011,0.0001654864],"domain_scores_gemma":[0.9975117,0.0006951534,0.0002289482,0.0006750364,0.0006235144,0.0002657444],"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":[0.00002402458,0.000009251999,0.0003765614,0.0004528375,0.00001185827,0.00001560158,0.00002588176,0.000106013,0.00009538724,0.0003935654,0.9970696,0.00141942],"study_design_scores_gemma":[0.00004877806,0.000005370386,0.001566775,0.0001674533,0.00001122504,0.00003589931,0.00007233508,0.0001272343,0.000156884,0.0007068017,0.9970865,0.00001476312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004292574,0.00002732547,0.00005268398,0.00004066682,0.00001227208,0.000005494573,0.9985001,0.000470049,0.0008485112],"genre_scores_gemma":[0.0001749275,0.00003699234,0.0002224953,0.00004896457,0.000003653633,0.00004364999,0.9986849,0.0002010124,0.0005834064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8347461,"threshold_uncertainty_score":0.5528295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244802944034512,"score_gpt":0.1888076067197572,"score_spread":0.1763595772794121,"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."}}