{"id":"W6887074446","doi":"10.15468/dl.njwkuj","title":"Occurrence Download","year":2020,"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; 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":[0.001065494,0.001942023,0.00152511,0.005228804,0.0009575128,0.002341792,0.002904087,0.002055827,0.1447363],"category_scores_gemma":[0.005672949,0.0008840995,0.001099458,0.01004805,0.0004692837,0.002226859,0.002393417,0.001947182,0.1888433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680231,"about_ca_system_score_gemma":0.002335175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02381291,"about_ca_topic_score_gemma":0.03680949,"domain_scores_codex":[0.9989921,0.0001353576,0.00012988,0.0003360943,0.0002350278,0.00017144],"domain_scores_gemma":[0.9976311,0.0006522108,0.0002299084,0.0006153213,0.0005831177,0.0002884066],"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":[0.00003207762,0.00001246788,0.0004024045,0.0005243088,0.00001486789,0.00001610875,0.00002429406,0.0001453561,0.0001333654,0.0004044682,0.9967799,0.001510508],"study_design_scores_gemma":[0.00007295742,0.000008936549,0.002183688,0.0001797899,0.0000144434,0.0000411451,0.00007621609,0.0001684859,0.0002177936,0.0006961364,0.9963222,0.00001813306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004725082,0.00002669356,0.00004053152,0.00003446105,0.00001124979,0.00000475991,0.9989263,0.0003266235,0.0005821289],"genre_scores_gemma":[0.0001627837,0.0000290165,0.0001674046,0.0000373455,0.000002876339,0.00003438405,0.9990269,0.000115481,0.0004237136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8552637,"threshold_uncertainty_score":0.4841913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}