{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001430953,0.0002181037,0.0004617332,0.00007316239,0.0001358364,0.0002277439,0.0001657443,0.0001182933,0.2493727],"category_scores_gemma":[0.0002525052,0.0001846094,0.000114465,0.000001859977,0.0002322536,2.975167e-7,0.00004412225,0.0001315974,0.002492798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001098142,"about_ca_system_score_gemma":0.00002119728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025028,"about_ca_topic_score_gemma":0.003282661,"domain_scores_codex":[0.9989115,0.00002758764,0.0004244873,0.0001455507,0.0002391339,0.0002517688],"domain_scores_gemma":[0.9989139,0.0001743265,0.0003565798,0.0001732262,0.0002427146,0.0001392576],"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":[0.00004284709,0.00002701262,0.000006281031,0.0006248173,0.0001231082,0.000001719426,0.001151292,0.00001571096,7.643449e-8,0.0005197229,0.9964918,0.0009955837],"study_design_scores_gemma":[0.0005909641,0.0001007813,0.000004233555,0.0001860698,0.00004455167,0.000002347011,0.0005280874,0.0001255012,0.000001937372,0.00003797532,0.9981639,0.0002136485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003456833,0.001179961,5.63197e-7,0.00004796325,0.0002234729,0.0005829812,0.0002518416,0.0000730251,0.9972945],"genre_scores_gemma":[0.02335892,0.0004048442,0.0001559896,0.0001337314,0.0006269357,0.00008240646,0.0001371391,0.00006347025,0.9750366],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2468799,"threshold_uncertainty_score":0.9982839,"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."}}