{"id":"W6924631806","doi":"10.15468/dl.n6cnaq","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); 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":[0.001112816,0.00195634,0.001674768,0.005554577,0.001005303,0.002875827,0.002857052,0.002065112,0.1699318],"category_scores_gemma":[0.006739204,0.0009999502,0.00115421,0.01094279,0.0004575867,0.002442112,0.002656298,0.002058537,0.2289894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652726,"about_ca_system_score_gemma":0.002469632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02197534,"about_ca_topic_score_gemma":0.03436675,"domain_scores_codex":[0.9988425,0.0001553066,0.000158868,0.0004007078,0.000257531,0.000185133],"domain_scores_gemma":[0.997163,0.0008356422,0.0002789654,0.0007235041,0.0006800452,0.0003188201],"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":[0.00002851367,0.00001025104,0.0003677951,0.0005627439,0.000015525,0.00001534572,0.00002466133,0.000116186,0.0001100084,0.0003941681,0.9970319,0.001322946],"study_design_scores_gemma":[0.00006889051,0.000007288063,0.001795885,0.0002030097,0.00001466653,0.00003604206,0.00007459297,0.0001310886,0.0001672446,0.0007290176,0.9967547,0.00001753015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003285973,0.0000227879,0.00003911247,0.00003243103,0.00001040882,0.000004421653,0.9989826,0.0003164651,0.0005589455],"genre_scores_gemma":[0.000144407,0.00003347287,0.0001787981,0.00004199148,0.000003324967,0.00003867447,0.9989601,0.0001543673,0.0004448152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8300682,"threshold_uncertainty_score":0.5684783,"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."}}