{"id":"W6905572755","doi":"10.15468/dl.8cvhya","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; Matching (statistics); Data collection; Range (aeronautics)","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":[0.0009867694,0.002021082,0.001594946,0.005095779,0.0009704159,0.002424756,0.002864995,0.001968936,0.1723953],"category_scores_gemma":[0.005749824,0.0009742843,0.00119075,0.009300589,0.0004687432,0.002406604,0.002891669,0.001977767,0.2379431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151459,"about_ca_system_score_gemma":0.002280875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938679,"about_ca_topic_score_gemma":0.03617942,"domain_scores_codex":[0.9989705,0.0001355715,0.0001315292,0.0003620532,0.0002260187,0.0001743319],"domain_scores_gemma":[0.9974547,0.0006448074,0.000236962,0.0007346843,0.0006231482,0.0003056825],"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":[0.00003194766,0.00001165799,0.0003683109,0.0005720271,0.0000159051,0.00001504583,0.00002540762,0.0001152839,0.0001520784,0.0003895564,0.9967564,0.001546245],"study_design_scores_gemma":[0.00006847017,0.000008135296,0.001745768,0.000165843,0.00001348206,0.00003679607,0.0000658242,0.000116292,0.0002070876,0.0007285332,0.9968264,0.00001742778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004386136,0.0000252375,0.00004951064,0.00003017052,0.0000117168,0.000005811819,0.9987376,0.0004448506,0.0006511055],"genre_scores_gemma":[0.0001483851,0.00002980781,0.0002141466,0.00003961423,0.000003349137,0.00004125361,0.9989383,0.0001659223,0.0004192995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8276047,"threshold_uncertainty_score":0.5767199,"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."}}