{"id":"W7075990286","doi":"10.15468/dl.fzvc72","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Muon and positron interactions and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Set (abstract data type); Range (aeronautics); Data set; Field (mathematics)","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":[0.001020259,0.002442057,0.001600982,0.005310779,0.001094772,0.002512559,0.003139585,0.0021663,0.1284731],"category_scores_gemma":[0.005537399,0.0008962366,0.001400883,0.009305554,0.0004812477,0.00229698,0.002705017,0.001982857,0.2186479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642637,"about_ca_system_score_gemma":0.002548166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02306112,"about_ca_topic_score_gemma":0.04200022,"domain_scores_codex":[0.9988021,0.0001565386,0.0001533055,0.0004112666,0.0002786555,0.0001981437],"domain_scores_gemma":[0.9975637,0.000554189,0.0002153683,0.0006869056,0.0006908659,0.0002888688],"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":[0.00003551207,0.00001261959,0.0003586409,0.0004984838,0.00001586298,0.0000151438,0.00001781694,0.0001358054,0.0001364301,0.0003492403,0.9968826,0.001541968],"study_design_scores_gemma":[0.00007551404,0.00001079779,0.001710742,0.0001716124,0.00001545069,0.00004179068,0.00005711874,0.0001736411,0.0002466063,0.0007852889,0.9966915,0.00001995241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000524383,0.00003552487,0.00005035253,0.00003550022,0.00001499257,0.000006153424,0.9985552,0.0005231021,0.0007266967],"genre_scores_gemma":[0.0001291096,0.00003169061,0.0001914205,0.00004153209,0.000003267674,0.00003069832,0.9990062,0.000128522,0.000437591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.871527,"threshold_uncertainty_score":0.4297852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142917680610812,"score_gpt":0.2161054020192096,"score_spread":0.2079624843385988,"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."}}