{"id":"W7099113412","doi":"","title":"2009) Household responses to individual shocks: disability, labour supply and marriageUniversity of British Columbia, mimeo","year":2014,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Work (physics); Labour supply; Economic analysis","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":[0.0004496177,0.0002306307,0.0005628556,0.001378096,0.001039824,0.00162968,0.0004705334,0.0005986149,0.03236356],"category_scores_gemma":[0.00264309,0.0001796608,0.0002289472,0.004740975,0.0003554349,0.0005830929,0.0008772288,0.0006512065,0.002251621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004988458,"about_ca_system_score_gemma":0.00607371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7838249,"about_ca_topic_score_gemma":0.835916,"domain_scores_codex":[0.999792,0.00004117673,0.00001216729,0.00002443608,0.00006128636,0.00006898139],"domain_scores_gemma":[0.9990645,0.0002760944,0.0001224537,0.00004911509,0.0002720044,0.0002158979],"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":[0.0003864647,0.0001789158,0.3645166,0.0004899097,0.0002424222,0.0007112327,0.006367919,0.004445815,0.0003637792,0.02123231,0.4042554,0.1968093],"study_design_scores_gemma":[0.00001638896,0.00002508666,0.9339564,0.0003793346,0.00005084616,0.00006644118,0.004954879,0.001572647,0.00007801636,0.00389747,0.05497183,0.00003050378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6266389,0.04213008,0.001556583,0.04371811,0.001134617,0.0001711774,0.1012385,0.0001380201,0.183274],"genre_scores_gemma":[0.8977296,0.02384641,0.0003792725,0.0006939325,0.0001933803,0.0001092799,0.01384029,0.00002777953,0.06317999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7838249,"threshold_uncertainty_score":0.4348965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140153233863105,"score_gpt":0.1992872027688003,"score_spread":0.1852718793824898,"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."}}