{"id":"W6905841459","doi":"10.15468/dl.qwwc4h","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); Set (abstract data type); 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":[0.001139495,0.002043345,0.001679461,0.005523672,0.001049759,0.002798275,0.002992354,0.00213518,0.157195],"category_scores_gemma":[0.006693568,0.001000122,0.001193419,0.01073197,0.000477618,0.002427168,0.002657981,0.002064883,0.2209953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685447,"about_ca_system_score_gemma":0.002480636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251933,"about_ca_topic_score_gemma":0.03602836,"domain_scores_codex":[0.9987895,0.0001667564,0.0001633,0.000422869,0.0002665768,0.0001909096],"domain_scores_gemma":[0.997183,0.0008180424,0.0002656695,0.0007492959,0.0006636397,0.00032037],"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":[0.00003011604,0.00001135439,0.000391556,0.0005641816,0.00001608084,0.00001605931,0.00002511097,0.0001247666,0.0001195014,0.0003928468,0.9969607,0.001347701],"study_design_scores_gemma":[0.000074424,0.000008179253,0.001904694,0.000198585,0.00001517947,0.00004079654,0.0000781188,0.0001539211,0.000183715,0.0007519643,0.9965721,0.00001818486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003823127,0.00002560211,0.00004324155,0.00003355838,0.00001100973,0.000004750249,0.9989355,0.0003509703,0.0005571162],"genre_scores_gemma":[0.0001456218,0.00003145553,0.000181944,0.00003961253,0.000003071926,0.00003699583,0.9990287,0.0001388632,0.0003937748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842805,"threshold_uncertainty_score":0.5258697,"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."}}