{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214934,0.0004009524,0.0002176921,0.0005654988,0.015571,0.004911762,0.001477424,0.008181836,0.01232375],"category_scores_gemma":[0.002730608,0.0004754676,0.0003800423,0.001094475,0.004242117,0.00153802,0.003737266,0.004670606,0.001527362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02305981,"about_ca_system_score_gemma":0.04261834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8801556,"about_ca_topic_score_gemma":0.9588799,"domain_scores_codex":[0.9964494,0.0003600507,0.00008290307,0.0002438391,0.001245092,0.001618657],"domain_scores_gemma":[0.9992064,0.0001783395,0.00005767633,0.00003366388,0.0002940398,0.0002299442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009370582,0.00005469369,0.006640193,0.0001245373,0.00001929588,0.006314115,0.02862405,0.0007155954,0.001873918,0.8197117,0.1190057,0.01682234],"study_design_scores_gemma":[0.00005061623,0.0000960978,0.02062076,0.0002898448,0.00004422656,0.00154893,0.03729699,0.001050936,0.002116255,0.0143585,0.92235,0.0001768501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08128108,0.0007818577,0.0004535304,0.01401136,0.000175476,0.00009367889,0.0001513569,0.00002400029,0.9030276],"genre_scores_gemma":[0.5177448,0.0007383457,0.0005158878,0.01424768,0.00004376076,0.00009174255,0.0001134231,0.00002950797,0.4664748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8801556,"threshold_uncertainty_score":0.2411004,"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."}}