{"id":"W131692369","doi":"","title":"ERM Quarterly, Quarter 4, January 2015","year":2015,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.002633209,0.0007947092,0.0007976606,0.00328974,0.002807777,0.01194213,0.001406553,0.005357584,0.2241855],"category_scores_gemma":[0.01462012,0.0005876488,0.0004910401,0.004083714,0.0007623138,0.004349389,0.001994257,0.003406971,0.1531236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003566448,"about_ca_system_score_gemma":0.006623931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02533232,"about_ca_topic_score_gemma":0.0577005,"domain_scores_codex":[0.9979989,0.0001561711,0.000155197,0.0001750333,0.001183191,0.0003315302],"domain_scores_gemma":[0.9937919,0.0008431848,0.0004844354,0.000432475,0.003604201,0.0008438702],"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":[0.00001234889,0.00001627438,0.0002052187,0.00003982772,0.00000130512,0.000006677082,0.00001821894,0.0000125436,0.00001594999,0.0007060534,0.9917154,0.007250218],"study_design_scores_gemma":[0.0000122329,0.00001599488,0.003803942,0.0002287327,0.000004209915,0.00001028291,0.0001638054,0.00003785792,0.00004230447,0.0005874456,0.9950845,0.000008807113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003365829,0.02747558,0.0004315713,0.2194017,0.1812261,0.0001675651,0.02525479,0.001056797,0.54162],"genre_scores_gemma":[0.009570417,0.009291925,0.0002832995,0.02242073,0.01815747,0.0001425087,0.009289033,0.0003032518,0.9305415],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2241855,"threshold_uncertainty_score":0.7499752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03643082575638832,"score_gpt":0.2205650618380364,"score_spread":0.1841342360816481,"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."}}