{"id":"W2765482792","doi":"","title":"In search of Frictionless Data","year":2017,"lang":"en","type":"other","venue":"Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","sts","open_science"],"category_scores_codex":[0.1085624,0.001107284,0.002441206,0.005992729,0.01032887,0.03165195,0.21167,0.0005729764,0.003938877],"category_scores_gemma":[0.008523571,0.0008726058,0.0006714218,0.01511005,0.009304394,0.006639674,0.2205295,0.004961266,0.0003702274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859614,"about_ca_system_score_gemma":0.001847957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08066442,"about_ca_topic_score_gemma":0.1604848,"domain_scores_codex":[0.9663634,0.01734538,0.003458695,0.003186429,0.007999129,0.001647019],"domain_scores_gemma":[0.912384,0.002829267,0.004906038,0.07765272,0.001743704,0.0004842397],"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":[0.00005508048,0.00264041,0.002577463,0.0004112918,0.0001674881,0.000006426968,0.002765557,0.0009119253,0.0002186487,0.0007515085,0.9740756,0.01541862],"study_design_scores_gemma":[0.001800706,0.00008348354,0.005271155,0.002390535,0.0001750161,0.000005752076,0.006118546,0.004261416,0.001793029,0.007935636,0.9689832,0.001181512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1946804,0.0008410011,0.0004836975,0.002527292,0.03454002,0.005995298,0.009785109,0.0002397176,0.7509074],"genre_scores_gemma":[0.3390884,0.00002816148,0.0007203317,0.00009663059,0.0001047378,0.00003942548,0.00167473,0.0002425532,0.6580051],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1444079,"threshold_uncertainty_score":0.999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.509269399646826,"score_gpt":0.511637245388432,"score_spread":0.002367845741605978,"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."}}