{"id":"W4366957305","doi":"10.2139/ssrn.4416377","title":"The Impact of Firm Closures and Job Loss on Participation in Gig Work: A Causal Analysis","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Work (physics); Business; Job loss; Labour economics; Demographic economics; Economics; Unemployment; Engineering; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002452277,0.00005312999,0.0001045551,0.0001649673,0.0002812697,0.00009669655,0.00009319554,0.00003817054,0.000008018754],"category_scores_gemma":[0.00007763048,0.00003643185,0.0001022612,0.001054796,0.00008782183,0.0002684942,0.00000538421,0.0003116068,0.000007069953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128852,"about_ca_system_score_gemma":0.000540121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007892528,"about_ca_topic_score_gemma":0.029173,"domain_scores_codex":[0.9986702,0.0001120231,0.0002094838,0.00006318726,0.0001504566,0.0007946427],"domain_scores_gemma":[0.9996283,0.0001615772,0.0000891808,0.00004906357,0.00002873642,0.00004312479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002066505,0.00005782706,0.6847172,0.000001984031,0.0006284264,0.000001835063,0.008151636,0.006809282,0.000002200296,0.1531198,0.00009322185,0.14621],"study_design_scores_gemma":[0.0003696412,0.0002813823,0.8594923,0.00001736669,0.00006999353,0.000001536854,0.004493617,0.0004397312,0.00000671946,0.1343494,0.0003784118,0.00009989119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955996,0.0002205341,0.00008162513,0.0008909302,0.00002824621,0.00006555858,0.000001424896,0.000009737344,0.003102291],"genre_scores_gemma":[0.9966203,0.003032437,6.464629e-7,0.000005587994,0.00004224597,0.000003880893,0.00000212741,0.000002774268,0.0002900321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1747751,"threshold_uncertainty_score":0.9885421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466470440208953,"score_gpt":0.3245735425972864,"score_spread":0.3099088381951969,"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."}}