{"id":"W7162334595","doi":"10.13140/rg.2.2.13211.84006","title":"Teetering on the edge of surplus: Neurodivergent work, social reproduction, and bodyminds in the Ontario labour market","year":2025,"lang":"en","type":"article","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Government (linguistics); Work (physics); Identity (music); Context (archaeology)","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":[],"consensus_categories":[],"category_scores_codex":[0.001034015,0.00004198489,0.0000587466,0.00003399364,0.0002521381,0.0000746681,0.0001228152,0.00002734596,0.0001941323],"category_scores_gemma":[0.00005460287,0.00002624821,0.00002491291,0.0002417878,0.0001030813,0.000169779,0.00001535946,0.00007902816,0.000002590114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004119995,"about_ca_system_score_gemma":0.00005912019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005765862,"about_ca_topic_score_gemma":0.04605424,"domain_scores_codex":[0.9994777,0.0001005996,0.0001348187,0.0001012215,0.00008978412,0.00009582896],"domain_scores_gemma":[0.9997668,0.00009306564,0.00002997653,0.00008201807,0.00001977708,0.000008391884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001558373,0.0001586266,0.1072234,0.00002841823,0.00002978916,0.000001104586,0.1418724,0.00001914244,0.000004335018,0.63231,0.0322647,0.08593219],"study_design_scores_gemma":[0.0001453366,0.00001986633,0.5478821,0.00002472784,0.000006200117,1.463073e-7,0.01142523,0.000002483788,0.00005697684,0.003991185,0.4363814,0.00006440298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6110231,0.000008196135,0.000007824655,0.01334655,0.0001477018,0.0001251926,8.089071e-7,0.000005951843,0.3753347],"genre_scores_gemma":[0.9888555,0.00002523622,0.000005145585,0.0004709191,0.00004400439,0.000009007231,5.80102e-7,0.000001011344,0.01058862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6283188,"threshold_uncertainty_score":0.9713528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092157360264255,"score_gpt":0.2471557213460926,"score_spread":0.2262341477434501,"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."}}