{"id":"W6961820542","doi":"10.15468/dl.jxqzye","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.000995671,0.002154761,0.001782381,0.004554531,0.001061687,0.003024023,0.003140974,0.002106174,0.1632136],"category_scores_gemma":[0.005915035,0.0009493866,0.001406603,0.009221487,0.0004389861,0.002550391,0.002730436,0.002122698,0.2644091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016787,"about_ca_system_score_gemma":0.002522117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935319,"about_ca_topic_score_gemma":0.03183393,"domain_scores_codex":[0.9989254,0.0001433856,0.0001352211,0.0003905343,0.0002282281,0.0001771577],"domain_scores_gemma":[0.9977695,0.0005761161,0.0001823937,0.0006218414,0.0006015663,0.0002486124],"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":[0.00003503179,0.00001190043,0.0003918476,0.000584863,0.00001794798,0.00001620996,0.00002325201,0.000153986,0.0001239306,0.0004056214,0.9963577,0.001877684],"study_design_scores_gemma":[0.00006936261,0.000007833768,0.001460949,0.0001685266,0.0000139359,0.00003269179,0.00006367268,0.0001952113,0.0001967561,0.000877933,0.9968957,0.00001739901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000414041,0.00003275162,0.00005684709,0.00003987714,0.00001358649,0.000005834397,0.9984896,0.0006201852,0.0006997758],"genre_scores_gemma":[0.0001414467,0.00003889546,0.0002289004,0.000045421,0.000003480402,0.00003979984,0.9988025,0.000180917,0.000518618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8367864,"threshold_uncertainty_score":0.5460041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423814888352921,"score_gpt":0.2763381645094451,"score_spread":0.2621000156259159,"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."}}