{"id":"W6924445544","doi":"10.15468/dl.6anzpc","title":"Occurrence Download","year":2024,"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; Lepidoptera genitalia; Entomology; Matching (statistics); Data collection","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":[0.001038638,0.0019421,0.001613292,0.005705058,0.0009914709,0.0028545,0.002800718,0.002025657,0.1885734],"category_scores_gemma":[0.007107212,0.0009790023,0.001308576,0.01063215,0.0004197469,0.002807108,0.002848628,0.002015293,0.2520775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609755,"about_ca_system_score_gemma":0.002262372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0159592,"about_ca_topic_score_gemma":0.02690857,"domain_scores_codex":[0.9988681,0.0001479267,0.0001593664,0.0004075017,0.0002376166,0.0001794644],"domain_scores_gemma":[0.9973454,0.000766364,0.0002390737,0.0006730357,0.0006785984,0.0002975613],"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":[0.00003145431,0.00001109397,0.0003813185,0.000655289,0.00001566172,0.0000141859,0.00002333399,0.0001139921,0.0001090255,0.0003546723,0.9964399,0.001850164],"study_design_scores_gemma":[0.00006891145,0.000008066001,0.001543794,0.0002097091,0.00001383011,0.00003305462,0.00007427522,0.0001522323,0.0001588432,0.0007330425,0.9969884,0.00001593519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003502829,0.00002723546,0.000042484,0.00003417805,0.00001187052,0.000005871382,0.9988803,0.0003696749,0.0005932378],"genre_scores_gemma":[0.0001509746,0.00004094827,0.0002447484,0.00004743356,0.000004121553,0.00005471072,0.9987896,0.000162054,0.0005053701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8114266,"threshold_uncertainty_score":0.630841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}