{"id":"W2808864666","doi":"10.5539/ass.v14n7p70","title":"Legal Regulations of Flexible Working in Jordan","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Legislator; Subordination (linguistics); Subject (documents); Business; Law; Work (physics); Discipline; Wage; Employment contract; Privity of contract; Freedom of contract; Law and economics; Legislation; Exclusion clause; Contract management; Computer science; Political science; Sociology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01568241,0.0003441591,0.0003161122,0.001618229,0.006589016,0.005587132,0.002124322,0.003121642,0.01124193],"category_scores_gemma":[0.01175416,0.0005164248,0.0004756761,0.001647603,0.004798149,0.001656007,0.002948358,0.002554802,0.002446719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005848327,"about_ca_system_score_gemma":0.03780855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02341051,"about_ca_topic_score_gemma":0.02975612,"domain_scores_codex":[0.9867597,0.003877523,0.00202879,0.001106046,0.004384619,0.001843351],"domain_scores_gemma":[0.9842569,0.003183454,0.002386134,0.00150551,0.0074763,0.001191663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002654729,0.0008455159,0.03206011,0.001231987,0.00004187711,0.003460856,0.06027864,0.002406751,0.008143215,0.6690433,0.09651376,0.1257085],"study_design_scores_gemma":[0.00009808657,0.0001546305,0.0280548,0.001118794,0.00002615311,0.0008541879,0.02107465,0.001252076,0.003065021,0.02058707,0.9235548,0.0001596554],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3274811,0.006256453,0.01562397,0.03114787,0.001101315,0.003222173,0.001875831,0.0005271002,0.6127642],"genre_scores_gemma":[0.734085,0.00341197,0.03091516,0.01308971,0.0005000058,0.002507362,0.001230864,0.0001072482,0.2141527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02341051,"threshold_uncertainty_score":0.08293754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372184257159768,"score_gpt":0.3022082745082528,"score_spread":0.2784864319366551,"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."}}