{"id":"W4394041064","doi":"10.5281/zenodo.4661590","title":"FavHydatStations","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007065366,0.0002144872,0.0002329042,0.0003802305,0.002640884,0.003992105,0.003138517,0.0001243794,0.007045841],"category_scores_gemma":[0.0009482034,0.0002331489,0.00007808633,0.00080994,0.00008506636,0.0008061292,0.003077307,0.0004515745,0.010405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001190366,"about_ca_system_score_gemma":0.00002048592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000775293,"about_ca_topic_score_gemma":2.09407e-7,"domain_scores_codex":[0.9978584,0.0002266111,0.0004951066,0.0004747148,0.0005738134,0.0003713686],"domain_scores_gemma":[0.997277,0.00004337887,0.0003660181,0.001163862,0.0009780907,0.000171708],"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":[9.041681e-7,0.00006492174,7.198475e-9,0.0002380566,0.00002214742,0.000009135856,0.000508985,0.00003289925,0.000007831852,0.003679141,0.9664195,0.02901643],"study_design_scores_gemma":[0.000159368,0.00003922819,0.000002442943,0.0001012529,0.0000109847,0.0001413798,0.00009738516,0.003840182,0.000028716,0.0005751966,0.9947553,0.0002485665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005429076,0.0001224036,0.3646214,0.0005420341,0.0004229096,0.0003127223,0.59828,0.001062214,0.03463087],"genre_scores_gemma":[0.00005831305,0.0001314855,0.005642585,0.0004416672,0.000171848,3.9039e-8,0.9927142,0.0003896484,0.0004502241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3944342,"threshold_uncertainty_score":0.9986575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03898168976693661,"score_gpt":0.2591365113072914,"score_spread":0.2201548215403548,"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."}}