{"id":"W6962473275","doi":"10.15468/dl.ztwmtg","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); The Internet; 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":[],"consensus_categories":[],"category_scores_codex":[0.001132097,0.002030395,0.00161933,0.004965194,0.001106456,0.002686866,0.003044074,0.002191627,0.1585412],"category_scores_gemma":[0.006569874,0.0009854743,0.001216966,0.00967668,0.0004885447,0.002427984,0.002728401,0.002172071,0.2196813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715273,"about_ca_system_score_gemma":0.002551164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02420909,"about_ca_topic_score_gemma":0.04115984,"domain_scores_codex":[0.9988362,0.0001582187,0.0001512863,0.0004009065,0.0002690961,0.0001842587],"domain_scores_gemma":[0.9972223,0.0007867223,0.0002480456,0.0007456135,0.0006929081,0.0003043716],"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":[0.00002709755,0.00001149365,0.0003496337,0.0004956595,0.00001404002,0.00001466942,0.00002470698,0.0001203868,0.000115,0.0003949261,0.9971339,0.001298442],"study_design_scores_gemma":[0.00006847721,0.000007452242,0.001728634,0.0001781557,0.00001349316,0.00003652484,0.0000736303,0.0001406993,0.0001851334,0.0007525304,0.9967969,0.0000184173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004017626,0.00002400695,0.00005012926,0.00003700871,0.00001254874,0.000005400511,0.9987705,0.0004036866,0.0006564792],"genre_scores_gemma":[0.0001485717,0.00002904183,0.0002110092,0.00004224924,0.000003090152,0.00004183723,0.9989116,0.0001626067,0.0004499686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1585412,"threshold_uncertainty_score":0.5303733,"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."}}