{"id":"W6924751006","doi":"10.15468/dl.pf7t99","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); Species name","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":[0.0009714799,0.001939191,0.001500111,0.005344447,0.001040891,0.002647379,0.00270227,0.002154518,0.1350754],"category_scores_gemma":[0.006110895,0.0008551943,0.001270825,0.009983678,0.0004561239,0.002255077,0.002578608,0.002063753,0.2032825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708615,"about_ca_system_score_gemma":0.002493238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496115,"about_ca_topic_score_gemma":0.03853705,"domain_scores_codex":[0.9988852,0.0001519465,0.0001462245,0.0003782807,0.0002536256,0.000184744],"domain_scores_gemma":[0.9974545,0.0007270468,0.0002386524,0.0006586162,0.0006357731,0.0002854259],"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":[0.00003111977,0.00001306715,0.0004323419,0.0005364314,0.00001375843,0.00001807266,0.00002586894,0.0001262863,0.0001097578,0.0003732095,0.9968675,0.001452614],"study_design_scores_gemma":[0.00007620534,0.000009910952,0.002327425,0.0002123342,0.00001496445,0.00004461913,0.00009242293,0.0001943106,0.0001968613,0.0007718644,0.9960402,0.00001893431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005100893,0.00002856832,0.00004440067,0.00004248447,0.00001198064,0.000006541153,0.9987457,0.0004120882,0.0006572296],"genre_scores_gemma":[0.0001678429,0.00003345908,0.0001803298,0.00004355118,0.000003444244,0.00004273731,0.9989638,0.0001190858,0.0004456512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8649246,"threshold_uncertainty_score":0.4518723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243738622993955,"score_gpt":0.2279531591064808,"score_spread":0.2035792968070853,"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."}}