{"id":"W6905954125","doi":"10.15468/dl.zues2e","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); Range (aeronautics); Data set","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":[0.001106281,0.001985863,0.001698359,0.005558567,0.001051208,0.002690257,0.00296049,0.002088782,0.1627577],"category_scores_gemma":[0.006320465,0.0009477843,0.00121647,0.01067395,0.000486011,0.002334687,0.002791658,0.002054054,0.2265119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616735,"about_ca_system_score_gemma":0.002494304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023765,"about_ca_topic_score_gemma":0.03393234,"domain_scores_codex":[0.9988626,0.0001512756,0.0001531073,0.0003797102,0.0002617805,0.0001915152],"domain_scores_gemma":[0.9973661,0.0007145879,0.0002517715,0.0007067418,0.0006495151,0.0003112671],"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":[0.00003138834,0.0000121871,0.0003608037,0.0006039304,0.00001586031,0.00001585213,0.00002395051,0.0001137003,0.000144287,0.0004079632,0.9968842,0.001385827],"study_design_scores_gemma":[0.00007413902,0.000008094178,0.001785907,0.0001949193,0.00001448922,0.00003740533,0.00006689183,0.0001150472,0.0002031166,0.0007385561,0.9967436,0.00001789102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004167611,0.00002818525,0.00004273403,0.00003303745,0.00001155936,0.000005512594,0.998831,0.0003578906,0.000648495],"genre_scores_gemma":[0.0001449772,0.000033507,0.0001765436,0.00004172237,0.000003278459,0.00004094525,0.9990131,0.0001379823,0.0004080157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8372422,"threshold_uncertainty_score":0.5444789,"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."}}