{"id":"W6924741743","doi":"10.15468/dl.t23ffu","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Engineering and Materials Science Studies","field":"Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000164638,0.0002158667,0.0002072792,0.00006859956,0.0002321847,0.0000846175,0.0003783204,0.0001102773,0.01304621],"category_scores_gemma":[0.00004148382,0.0002338432,0.00007249636,0.0002305008,0.00007051403,0.0004681223,0.0002478232,0.0001961256,0.02655458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882616,"about_ca_system_score_gemma":0.00002876894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009178682,"about_ca_topic_score_gemma":0.000003450343,"domain_scores_codex":[0.9990611,0.0000156738,0.0002310534,0.0001169787,0.0003252307,0.0002499684],"domain_scores_gemma":[0.9995326,0.000008552186,0.00005306604,0.0002773736,0.00004925669,0.0000791288],"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":[0.000003857935,0.000004995278,0.00002043085,0.0002069256,0.00001990189,0.000001096166,0.00003580386,0.003625839,2.992541e-7,3.255283e-8,0.9958434,0.0002374872],"study_design_scores_gemma":[0.00009917237,0.00001420221,0.00001460959,9.599797e-7,0.00001998768,0.000002728255,0.00009827731,0.000001186459,0.000005748887,2.314445e-7,0.9995067,0.0002362468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004013842,0.00005335266,0.000007816277,0.00001804021,0.00199252,0.0001302231,0.9969202,0.0003455135,0.0001309055],"genre_scores_gemma":[0.00002066416,0.0002286621,0.000001192279,0.00005400624,0.000001164357,0.000008104099,0.9996861,1.492065e-8,4.92465e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01350838,"threshold_uncertainty_score":0.987856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009399321503990147,"score_gpt":0.1880879223951821,"score_spread":0.1786886008911919,"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."}}