{"id":"W6924800399","doi":"10.15468/dl.q8vh4a","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); Set (abstract data type)","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":[0.0008862667,0.00191928,0.001464491,0.004679166,0.001026282,0.002401132,0.002756539,0.001959022,0.1448957],"category_scores_gemma":[0.005746794,0.0008491441,0.001225189,0.009191757,0.000448263,0.00225024,0.002502671,0.0018929,0.2030961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625585,"about_ca_system_score_gemma":0.00235539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02656864,"about_ca_topic_score_gemma":0.04320176,"domain_scores_codex":[0.9990163,0.0001259629,0.0001265163,0.0003358917,0.0002305992,0.0001648042],"domain_scores_gemma":[0.9977405,0.0006219171,0.0001992243,0.0006039908,0.0005783558,0.0002559916],"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":[0.00002696095,0.0000108849,0.0003896928,0.0004365203,0.00001316794,0.00001567214,0.00002342348,0.0001254146,0.000102767,0.0003372023,0.9970415,0.001476769],"study_design_scores_gemma":[0.00007191461,0.000008792138,0.002066237,0.0001872329,0.00001405863,0.00004545085,0.00008997432,0.0002029365,0.0001989224,0.0007821457,0.9963147,0.00001754877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005321474,0.00002970021,0.00005106652,0.00004327281,0.00001378175,0.000005618204,0.9986334,0.0005001125,0.000669725],"genre_scores_gemma":[0.0001771692,0.0000318117,0.0002111711,0.00004506992,0.000003530934,0.00003636154,0.9988937,0.0001534646,0.0004477706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8551043,"threshold_uncertainty_score":0.4847243,"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."}}