{"id":"W7028156666","doi":"","title":"Emojis and contract formation: South West Terminal Ltd v Achter Land & Cattle Ltd [2023] SKKB 116","year":2024,"lang":"en","type":"other","venue":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminal (telecommunication); Negotiation; North west; Livestock; Beef cattle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008098505,0.001892409,0.001336428,0.009718315,0.001611887,0.0006530138,0.002003139,0.0008551871,0.002558114],"category_scores_gemma":[0.00002327406,0.002309296,0.0006945426,0.003902566,0.001841306,0.001484438,0.003572994,0.00131234,0.01314931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003278273,"about_ca_system_score_gemma":0.000272094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002996071,"about_ca_topic_score_gemma":0.002375251,"domain_scores_codex":[0.9931623,0.0004322737,0.0007579948,0.002656683,0.001418389,0.00157235],"domain_scores_gemma":[0.9963436,0.00007489478,0.00096132,0.001578088,0.0003347444,0.0007073996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007052756,0.001098995,0.0009390746,0.006696506,0.005182761,0.01220452,0.001896276,0.0002636922,0.000009963685,0.2694761,0.6951672,0.006359688],"study_design_scores_gemma":[0.004571277,0.00009669093,0.001067584,0.003219582,0.00381511,0.0001254743,0.003448565,0.0002846332,0.000003257746,0.0002575045,0.980814,0.002296281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001236552,0.001025045,0.005257152,0.0004035246,0.001907806,0.002778752,0.001689143,0.001903774,0.9837983],"genre_scores_gemma":[0.02765568,0.0008471886,0.003345102,0.0001230747,0.0006097233,0.000004704506,0.003224933,0.000668665,0.9635209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2856468,"threshold_uncertainty_score":0.9996879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688480019506751,"score_gpt":0.2214171288044411,"score_spread":0.2045323286093736,"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."}}