{"id":"W7029763260","doi":"","title":"The legal status of letters of comfort","year":2023,"lang":"en","type":"dissertation","venue":"Boloka Institutional Repository (North-west University)","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeal; Loan; Collateral; Liability; Circumstantial evidence; Supreme court; Disclaimer; Subject (documents); Debt; Surety","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":[],"consensus_categories":[],"category_scores_codex":[0.00008496729,0.0002143331,0.0002665427,0.0003338197,0.0008738189,0.00008339917,0.000977782,0.0001413195,0.00000115849],"category_scores_gemma":[0.00004798667,0.0002023056,0.000165344,0.001098479,0.0003177326,0.0005008553,0.0001178891,0.0002669669,0.000006946666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087988,"about_ca_system_score_gemma":0.001604108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004470595,"about_ca_topic_score_gemma":0.001007789,"domain_scores_codex":[0.9982735,0.00007700257,0.0003964105,0.00037874,0.0005599032,0.000314471],"domain_scores_gemma":[0.9982908,0.0001355081,0.0006336745,0.0004412472,0.0003941619,0.0001046064],"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":[0.001139602,0.0006313983,0.0550567,0.001333033,0.001188614,0.001688207,0.003312562,0.3737434,0.003314683,0.5316597,0.006756044,0.02017612],"study_design_scores_gemma":[0.002320363,0.0005074372,0.6066729,0.001516418,0.0005936876,0.0001263371,0.001353051,0.02024251,0.005710418,0.0003122044,0.3586102,0.002034496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240658,0.0004850823,0.02063991,0.00007869477,0.005357717,0.0004048737,0.00005089617,0.0003046488,0.04861239],"genre_scores_gemma":[0.9541498,0.0006530819,0.003001249,0.00002630739,0.0002192718,0.000003824497,0.0007329711,0.00003013191,0.0411834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5516162,"threshold_uncertainty_score":0.8249784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008190702174510137,"score_gpt":0.197972109390155,"score_spread":0.1897814072156449,"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."}}