{"id":"W6961908482","doi":"10.15468/dl.uqwatw","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); Alien; Range (aeronautics); Task (project management)","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":[0.0009716465,0.00202104,0.001562607,0.004583026,0.001066818,0.002583286,0.002802662,0.00223175,0.1540005],"category_scores_gemma":[0.006026837,0.0009355337,0.001306675,0.008687833,0.0004549662,0.002527695,0.002632965,0.002080253,0.2232869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547719,"about_ca_system_score_gemma":0.002334668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130915,"about_ca_topic_score_gemma":0.03494992,"domain_scores_codex":[0.998953,0.0001490094,0.0001269998,0.0003787898,0.0002223022,0.000169874],"domain_scores_gemma":[0.9974294,0.0007537486,0.0002123217,0.0007135671,0.0006051815,0.000285633],"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":[0.00002987344,0.00001256787,0.0003618436,0.0004885184,0.00001345453,0.00001538106,0.00002231129,0.0001243894,0.0001144319,0.0003497032,0.9971082,0.001359424],"study_design_scores_gemma":[0.00007728433,0.00001020025,0.001970199,0.0001944518,0.00001462094,0.00004182662,0.00008174959,0.0001922931,0.0002074506,0.0008429591,0.9963477,0.00001936044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005165583,0.00002906755,0.00005345279,0.00004575227,0.00001506287,0.000006522655,0.9986185,0.0005096707,0.0006702587],"genre_scores_gemma":[0.000167714,0.00003266734,0.0002081881,0.00005228377,0.000003876152,0.00004448375,0.9988641,0.000159914,0.0004669261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8459995,"threshold_uncertainty_score":0.5151829,"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."}}