{"id":"W6943227586","doi":"10.15468/dl.tmahnj","title":"Occurrence Download","year":2023,"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); 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":[0.001031676,0.001869779,0.001656042,0.005148582,0.0009277384,0.002461211,0.002729134,0.001993829,0.1542633],"category_scores_gemma":[0.006289562,0.0008866324,0.001209064,0.01052314,0.0004341715,0.002085186,0.002377207,0.001900575,0.201082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499189,"about_ca_system_score_gemma":0.002278305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082152,"about_ca_topic_score_gemma":0.03361137,"domain_scores_codex":[0.9989446,0.0001470532,0.0001451162,0.0003593702,0.0002316633,0.0001721834],"domain_scores_gemma":[0.9973843,0.0007752667,0.0002501507,0.0006574193,0.0006431178,0.0002897982],"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":[0.00003294706,0.00001165047,0.0004440786,0.0006248579,0.00001833675,0.00001629097,0.000023265,0.0001393106,0.0001278893,0.0003823213,0.9967312,0.00144787],"study_design_scores_gemma":[0.00008923643,0.000009376433,0.002282823,0.0002223325,0.0000178816,0.00004068468,0.00007241058,0.0001545139,0.0001931058,0.0008035856,0.9960951,0.00001892582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003993173,0.00002632805,0.00003721177,0.00003036386,0.000009950633,0.000004747243,0.9990615,0.0002878903,0.0005020897],"genre_scores_gemma":[0.000162728,0.00003299022,0.0001712853,0.00004100147,0.00000334481,0.00004007004,0.9990566,0.0001190799,0.0003728083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8457367,"threshold_uncertainty_score":0.5160622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}