{"id":"W6887142062","doi":"10.15468/dl.pzc5r6","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009717751,0.002183407,0.001568817,0.004652409,0.001076453,0.002543867,0.003089431,0.002265941,0.1225869],"category_scores_gemma":[0.005611942,0.0009014875,0.001266039,0.008941102,0.000483477,0.002232061,0.002546475,0.002207343,0.1953543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712134,"about_ca_system_score_gemma":0.002369274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02530404,"about_ca_topic_score_gemma":0.04166099,"domain_scores_codex":[0.9989894,0.0001382409,0.0001264358,0.0003459382,0.0002332264,0.0001668103],"domain_scores_gemma":[0.9978484,0.0005831909,0.000196435,0.0005773827,0.0005492946,0.0002453486],"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":[0.00003252042,0.00001345306,0.0003932053,0.0005080175,0.00001550814,0.0000174897,0.00002550345,0.0001488461,0.0001240539,0.0003954807,0.9968947,0.001431155],"study_design_scores_gemma":[0.00007722489,0.000008622977,0.001858853,0.0001777161,0.00001443818,0.00004117246,0.00007899276,0.0001999139,0.0002091257,0.0007930708,0.9965227,0.00001820568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005157877,0.00003075275,0.00005251718,0.00003965468,0.00001315987,0.000006054097,0.9986572,0.0005009459,0.0006480734],"genre_scores_gemma":[0.0001522462,0.00002912028,0.0001934793,0.00004022352,0.000003063412,0.00003660811,0.9990162,0.0001385492,0.0003905411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.877413,"threshold_uncertainty_score":0.4100941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007890224119051763,"score_gpt":0.1885099529082729,"score_spread":0.1806197287892211,"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."}}