{"id":"W6913203421","doi":"10.5683/sp3/wsumoj","title":"RDM - Help! (case study)","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Session (web analytics); Process (computing); RDM; Field (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006936408,0.000865941,0.0006762865,0.003327684,0.001686287,0.002614171,0.002326265,0.001527335,0.1046563],"category_scores_gemma":[0.02500033,0.0005506164,0.001125501,0.00454425,0.0005368462,0.003514732,0.003168808,0.001919954,0.0943417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723305,"about_ca_system_score_gemma":0.002139267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386553,"about_ca_topic_score_gemma":0.04521213,"domain_scores_codex":[0.9970194,0.001154874,0.000302214,0.0005287945,0.0006717231,0.0003229532],"domain_scores_gemma":[0.9856763,0.004976399,0.0006130218,0.004241172,0.003042808,0.001450319],"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":[0.00007211007,0.0000381298,0.001270482,0.0002103417,0.000006976379,0.00004398669,0.0003730006,0.00006180567,0.00006843554,0.0008566326,0.98923,0.00776805],"study_design_scores_gemma":[0.00009178403,0.00002034207,0.004890396,0.0002537263,0.000007198534,0.0001012292,0.0009675041,0.0003747125,0.0003066738,0.001407499,0.9915556,0.00002327859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006145165,0.0003914359,0.004839031,0.00344482,0.000517146,0.0007150106,0.9441644,0.008910998,0.03087205],"genre_scores_gemma":[0.01440496,0.0003158563,0.0175321,0.001365589,0.000169529,0.004277303,0.9286156,0.003223938,0.03009508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1046563,"threshold_uncertainty_score":0.3501104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970826380449759,"score_gpt":0.3245878606266653,"score_spread":0.2848795968221677,"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."}}