{"id":"W7066458654","doi":"","title":"Inching Our Way Back: The Nation's Tepid Employment Recovery","year":2013,"lang":"en","type":"other","venue":"Rutgers University Community Repository (Rutgers University)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economic recovery; Goods and services; Unemployment; Job loss; Full employment; Underemployment","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":[0.003838427,0.000545437,0.0004632169,0.000942594,0.01154875,0.01034319,0.001534271,0.005704066,0.01761477],"category_scores_gemma":[0.007915263,0.0003598774,0.00051826,0.0009862718,0.00365253,0.01080151,0.009691377,0.01227131,0.005161099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004514141,"about_ca_system_score_gemma":0.01730575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0193722,"about_ca_topic_score_gemma":0.0464895,"domain_scores_codex":[0.9971583,0.0007491013,0.0001137599,0.0002010068,0.0006783158,0.001099534],"domain_scores_gemma":[0.9961367,0.000442357,0.0002152006,0.0002291723,0.0008262071,0.002150244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007258346,0.0000809886,0.001724058,0.000181783,0.00001152996,0.0003533431,0.002127491,0.0000929027,0.0002369606,0.01607338,0.8747894,0.1042557],"study_design_scores_gemma":[0.00001753388,0.00008416807,0.006683483,0.001020831,0.00001184821,0.0003961948,0.0204106,0.0002014669,0.0002568821,0.01581789,0.9550391,0.00005997429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01649564,0.0250072,0.0005967893,0.8946733,0.01847189,0.0000312253,0.0004127299,0.0002185111,0.04409272],"genre_scores_gemma":[0.3502951,0.0606432,0.002774919,0.4813933,0.01141506,0.0001791192,0.001563177,0.0005775852,0.09115846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0193722,"threshold_uncertainty_score":0.0589273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247177875363245,"score_gpt":0.1965798787709058,"score_spread":0.1841081000172734,"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."}}