{"id":"W7028957529","doi":"","title":"Handcuffed: Comparing Contracts For Mobile Phones And Life Insurance","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life insurance; Mobile phone; Phone; Mobile device; Insurance policy","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":[0.002509834,0.0002648045,0.0004232369,0.002234918,0.00170751,0.003108134,0.0007865548,0.0007065207,0.1735975],"category_scores_gemma":[0.0334411,0.0002469749,0.0003543787,0.004542391,0.0007417865,0.002243752,0.002885449,0.001017081,0.01548807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003257929,"about_ca_system_score_gemma":0.004281814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1728746,"about_ca_topic_score_gemma":0.3628912,"domain_scores_codex":[0.9974841,0.0009221181,0.0001067978,0.0001389098,0.001078506,0.0002695362],"domain_scores_gemma":[0.9774553,0.0154097,0.001151529,0.001147312,0.003646563,0.001189551],"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":[0.00039696,0.0001377189,0.01153917,0.0003734441,0.00004113354,0.00007536595,0.002803191,0.00009493337,0.0001046512,0.003588517,0.9157506,0.06509434],"study_design_scores_gemma":[0.00048906,0.0002373484,0.2109709,0.001514307,0.0001200273,0.0001554424,0.02913679,0.0006016383,0.0006532778,0.003778919,0.752217,0.0001252713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1455074,0.00307466,0.001794289,0.01440185,0.002520905,0.0008710008,0.1813056,0.0008849272,0.6496393],"genre_scores_gemma":[0.4393345,0.002706251,0.004776592,0.004815341,0.0005774412,0.002122845,0.08663154,0.001374263,0.4576612],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1735975,"threshold_uncertainty_score":0.5807414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135363448067347,"score_gpt":0.2036798083540613,"score_spread":0.1901434635473266,"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."}}