{"id":"W7039302703","doi":"","title":"L'impatto della pandemia sul reddito da lavoro non subordinato, possibili scenari","year":2021,"lang":"it","type":"article","venue":"ARCA (Università Ca' Foscari Venezia)","topic":"Legal and Labor Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Load Shedding; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19)","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":[0.002008617,0.0003160344,0.0003495625,0.001362977,0.006258611,0.009319675,0.001013135,0.002478168,0.01719739],"category_scores_gemma":[0.006984716,0.0002988335,0.0003362879,0.00139984,0.009816072,0.004446171,0.006477823,0.004089928,0.001622143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004916015,"about_ca_system_score_gemma":0.006595572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03187914,"about_ca_topic_score_gemma":0.08042406,"domain_scores_codex":[0.997193,0.0006246102,0.0001040183,0.0006583573,0.000788779,0.0006312348],"domain_scores_gemma":[0.996976,0.0007704066,0.0005570823,0.0005849284,0.0006669895,0.0004446219],"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":[0.00008483275,0.00005890146,0.03018373,0.0002507117,0.00005459665,0.0007810249,0.02964363,0.0002457821,0.002323278,0.8279613,0.02680118,0.08161099],"study_design_scores_gemma":[0.00001636858,0.0001044415,0.03934206,0.0004336606,0.00003790542,0.0009434636,0.01655497,0.0003386541,0.001200029,0.07127581,0.8696836,0.0000691142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.26796,0.01158506,0.008276985,0.127384,0.002288898,0.0001043642,0.0004359564,0.0002343816,0.5817304],"genre_scores_gemma":[0.8737334,0.002818196,0.002470281,0.009034304,0.0007154653,0.0000568529,0.0001094492,0.0001076548,0.1109543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03187914,"threshold_uncertainty_score":0.06338716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016176916932117,"score_gpt":0.2241142970693761,"score_spread":0.2079373801372591,"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."}}