{"id":"W6961911321","doi":"10.15468/dl.nwlicq","title":"Occurrence Download","year":2016,"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":[0.0009890061,0.001934857,0.00158895,0.005290638,0.0008597858,0.002610216,0.002831685,0.001991707,0.1388153],"category_scores_gemma":[0.006240969,0.0008717115,0.001156616,0.0103626,0.000425995,0.002407529,0.002475719,0.001943956,0.2044651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616245,"about_ca_system_score_gemma":0.002313304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196164,"about_ca_topic_score_gemma":0.03067108,"domain_scores_codex":[0.9989121,0.0001499633,0.0001475442,0.0003729208,0.0002403417,0.0001771645],"domain_scores_gemma":[0.9974061,0.0006990057,0.0002739417,0.0006812841,0.0006319762,0.0003077393],"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":[0.00002846504,0.00001148354,0.0004225445,0.0005061132,0.00001565666,0.00001371651,0.00002072788,0.0001283935,0.00009228331,0.00035636,0.9970483,0.001355996],"study_design_scores_gemma":[0.00008025565,0.000008998013,0.002125684,0.0002073496,0.00001517386,0.00004071629,0.00007294841,0.0001745448,0.000175466,0.0007840019,0.9962978,0.00001706921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004330097,0.00003010047,0.00003747426,0.00003568695,0.00001185144,0.000004729099,0.9990012,0.0003038179,0.0005318765],"genre_scores_gemma":[0.000154782,0.0000341858,0.0001494666,0.00003751673,0.000003584324,0.00003382096,0.9990658,0.0001039547,0.0004169116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8611847,"threshold_uncertainty_score":0.4643834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}