{"id":"W6962233091","doi":"10.15468/dl.r9b5n3","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); Alien; The Internet","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":[0.000993202,0.002005137,0.001588233,0.005029361,0.001032518,0.002677501,0.002822296,0.002205571,0.1723733],"category_scores_gemma":[0.006444523,0.0009110941,0.001293954,0.008902514,0.0004487246,0.002532205,0.002612561,0.002012165,0.2319289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578239,"about_ca_system_score_gemma":0.002297341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070463,"about_ca_topic_score_gemma":0.03405606,"domain_scores_codex":[0.998966,0.0001468798,0.0001256454,0.0003748747,0.0002183072,0.0001683144],"domain_scores_gemma":[0.9974015,0.0007890876,0.0002205205,0.0006820553,0.0006159764,0.0002908351],"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":[0.00002732266,0.00001185196,0.000371409,0.0005224937,0.00001350769,0.0000152029,0.0000218546,0.0001184232,0.0001011934,0.0003242312,0.9970948,0.001377636],"study_design_scores_gemma":[0.00007704006,0.00001009223,0.00192818,0.000218654,0.00001561477,0.00004097213,0.0000825444,0.0001894393,0.0001892912,0.0008388276,0.99639,0.00001924147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004487327,0.00002971293,0.00004634533,0.00004442029,0.0000141842,0.000006420769,0.9987316,0.0004397346,0.0006427895],"genre_scores_gemma":[0.0001721744,0.00003564994,0.0002121107,0.0000545855,0.000004162349,0.00004979251,0.9988165,0.0001571239,0.0004980018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8276268,"threshold_uncertainty_score":0.576646,"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."}}