{"id":"W2609828263","doi":"10.18769/ijasos.309488","title":"RECOVERING NON-PECUNIARY LOSSES IN BREACH OF EMPLOYMENT CONTRACT UNDER MALAYSIAN LAW","year":2017,"lang":"en","type":"article","venue":"IJASOS- International E-journal of Advances in Social Sciences","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Atomic Energy of Canada Limited","keywords":"Dismissal; Employment contract; Reputation; Plaintiff; Embarrassment; Statutory law; Labour law; Prerogative; Law; Pleading; Unfair dismissal; Business; Political science; Work (physics); Psychology; Engineering; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001594961,0.00009641265,0.0002411801,0.0001520465,0.0006461382,0.0002499423,0.001579554,0.00006563465,0.00007791783],"category_scores_gemma":[0.0002284032,0.00008768966,0.0001071799,0.0001953575,0.001347223,0.002130559,0.0001225638,0.0002081196,0.000002740353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652612,"about_ca_system_score_gemma":0.0003280508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005725867,"about_ca_topic_score_gemma":0.01839281,"domain_scores_codex":[0.9980263,0.00007440215,0.0005565536,0.0001750187,0.0009122843,0.0002554193],"domain_scores_gemma":[0.9985468,0.0001962581,0.0008525364,0.00009416779,0.0002530843,0.00005708953],"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":[0.0000838287,0.0003479412,0.127304,0.000008711123,0.00003524726,0.00003201689,0.006910013,0.002836007,0.0006393524,0.8329437,0.00007004776,0.02878921],"study_design_scores_gemma":[0.002905323,0.0003141055,0.5202563,0.0007742672,0.00003037796,0.00002269893,0.02231704,0.0004011137,0.001763904,0.2615954,0.1889069,0.0007125294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7748165,0.0005120257,0.0004682362,0.01179518,0.001499731,0.0001916709,0.00002246056,0.000007700629,0.2106866],"genre_scores_gemma":[0.9973665,0.0008920698,0.0008400198,0.0001749647,0.0006190112,0.000005346758,6.052333e-7,0.000004769961,0.0000966763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5713482,"threshold_uncertainty_score":0.999519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087479915470227,"score_gpt":0.431452537600681,"score_spread":0.3905777384459788,"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."}}