{"id":"W6961964962","doi":"10.15468/dl.thau8c","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":"Download; Matching (statistics); Range (aeronautics); Data access","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":[0.001092268,0.001824413,0.001626877,0.006359965,0.0009565307,0.002737261,0.002710231,0.001908715,0.2068889],"category_scores_gemma":[0.00678139,0.0009384226,0.001155556,0.01174148,0.0004266957,0.002546117,0.002889547,0.001877758,0.2602933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717001,"about_ca_system_score_gemma":0.00271254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02421468,"about_ca_topic_score_gemma":0.04042947,"domain_scores_codex":[0.9988074,0.0001532849,0.0001601661,0.00040299,0.0002763168,0.0001998583],"domain_scores_gemma":[0.9969233,0.0008226177,0.0003105571,0.0007342736,0.0008416759,0.0003676329],"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":[0.00002745468,0.000007982799,0.0002900455,0.0005979614,0.0000142483,0.00001250377,0.0000228036,0.00009128593,0.0001105855,0.0003983997,0.996891,0.001535795],"study_design_scores_gemma":[0.00005031435,0.00000572636,0.001445198,0.0001981364,0.00001245003,0.00002536652,0.00005656093,0.00007924259,0.0001434411,0.0006537667,0.9973146,0.00001511613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002575371,0.00002313707,0.00003722434,0.00002931547,0.000009532536,0.000004627163,0.9989018,0.000296395,0.0006721573],"genre_scores_gemma":[0.0001453951,0.00003998744,0.000203481,0.0000512109,0.00000374511,0.00003987304,0.9987709,0.0001821807,0.0005632619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7931111,"threshold_uncertainty_score":0.6921124,"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."}}