{"id":"W6962219354","doi":"10.15468/dl.wqkz6d","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":[0.0009641144,0.001910273,0.001533107,0.004636262,0.0009946224,0.002571642,0.002650361,0.002106623,0.1680984],"category_scores_gemma":[0.00615373,0.0008598206,0.001251009,0.008938778,0.0004303386,0.00243681,0.002540092,0.001992536,0.2409111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491509,"about_ca_system_score_gemma":0.002218372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01962326,"about_ca_topic_score_gemma":0.03233125,"domain_scores_codex":[0.9989625,0.0001497045,0.0001258349,0.000375993,0.0002187134,0.0001671211],"domain_scores_gemma":[0.997246,0.0007971399,0.0002341635,0.0007484849,0.0006812203,0.0002930403],"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":[0.00002699648,0.00001166297,0.000381857,0.0004727855,0.00001231326,0.00001335064,0.00002062741,0.0001223415,0.00009642279,0.0003186263,0.9971442,0.001378775],"study_design_scores_gemma":[0.00007114986,0.000009467361,0.001831421,0.0001956296,0.00001322997,0.00003241329,0.0000758707,0.0001775725,0.000176927,0.0008002306,0.9965983,0.00001769477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004418402,0.00002560965,0.0000432067,0.00004210788,0.00001423506,0.00000582495,0.9987667,0.000410465,0.0006477036],"genre_scores_gemma":[0.0001663608,0.0000337543,0.0002126511,0.00005146372,0.000004448442,0.00004568325,0.9987929,0.0001611154,0.0005315383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8319016,"threshold_uncertainty_score":0.5623453,"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."}}