{"id":"W4243837839","doi":"10.4095/300928","title":"Service Industries - Specialization in Personal Services, 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Business; Commerce; Marketing; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006468173,0.0006268925,0.0001579549,0.003412486,0.0008338864,0.001229708,0.0008360047,0.0005877079,0.02786374],"category_scores_gemma":[0.002091341,0.0003896519,0.000192376,0.008089853,0.0002953978,0.001275641,0.0008345176,0.0009365228,0.01143007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00476563,"about_ca_system_score_gemma":0.006748275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.509433,"about_ca_topic_score_gemma":0.644299,"domain_scores_codex":[0.9992276,0.00003921728,0.00008428763,0.00006236746,0.0003879284,0.0001984671],"domain_scores_gemma":[0.9985795,0.0001274331,0.000168839,0.00006874198,0.0008015928,0.0002538785],"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":[0.0001880457,0.0003548489,0.1300879,0.00052835,0.00002462815,0.0002377664,0.0016255,0.001034221,0.0005581646,0.005842883,0.7397623,0.1197553],"study_design_scores_gemma":[0.00001815316,0.00004351627,0.5412828,0.0001421884,0.000004904257,0.0001287313,0.00119439,0.0002002997,0.0003314468,0.0001927684,0.4564496,0.00001117727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09280512,0.004272909,0.0004608479,0.003116171,0.0005460247,0.0007027976,0.4646142,0.0002492631,0.4332326],"genre_scores_gemma":[0.1378212,0.008882656,0.001697779,0.0005923554,0.0001651213,0.0007798747,0.2717263,0.0000840897,0.5782506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.509433,"threshold_uncertainty_score":0.986912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04287737021617175,"score_gpt":0.3286297547972452,"score_spread":0.2857523845810734,"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."}}