{"id":"W6943337443","doi":"10.15468/dl.xycmg7","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coregonus; Notophthalmus viridescens; Larus; Esox","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":[0.0007108065,0.002559463,0.002033336,0.007028994,0.001346542,0.003594643,0.002752224,0.002677861,0.235531],"category_scores_gemma":[0.005533593,0.0008167968,0.001717941,0.01073309,0.0004051172,0.003742217,0.003364335,0.002078048,0.3579451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846409,"about_ca_system_score_gemma":0.002391907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02122059,"about_ca_topic_score_gemma":0.03940171,"domain_scores_codex":[0.9988469,0.000121528,0.0001705492,0.0004031988,0.0002491849,0.0002086868],"domain_scores_gemma":[0.9978935,0.0004718268,0.0001846939,0.0004869342,0.0006704713,0.0002925055],"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":[0.0000605631,0.00001807717,0.0004960914,0.0007819652,0.00001551732,0.00003817678,0.00002653194,0.0001160867,0.0001538868,0.0004540835,0.9940038,0.003835154],"study_design_scores_gemma":[0.00006691375,0.00001560056,0.001611604,0.0002235241,0.00001502495,0.0000789566,0.0001018595,0.0003390576,0.0001746471,0.0009865449,0.9963658,0.00002044174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001025848,0.0001100117,0.0001100732,0.0000906709,0.0000331657,0.00001367065,0.9958879,0.001503794,0.002148121],"genre_scores_gemma":[0.0002968657,0.00008684114,0.0003960106,0.00009583595,0.000009742312,0.00004192508,0.9977593,0.0002344872,0.001078897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.764469,"threshold_uncertainty_score":0.7879297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}