{"id":"W4234611348","doi":"10.1002/9781119971528.refs","title":"References","year":2010,"lang":"ca","type":"other","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008105129,0.0006458373,0.0005667431,0.006385319,0.001022301,0.001509106,0.00141236,0.0008867435,0.4737878],"category_scores_gemma":[0.006243821,0.0002100537,0.0005514669,0.005885963,0.0002755606,0.000955838,0.0009518751,0.001135062,0.3887555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760382,"about_ca_system_score_gemma":0.003319159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04854509,"about_ca_topic_score_gemma":0.09391081,"domain_scores_codex":[0.9991548,0.00008971615,0.00004218749,0.00005647297,0.0005949574,0.00006185955],"domain_scores_gemma":[0.9974185,0.0004021308,0.0000847607,0.0001362202,0.001731283,0.0002269747],"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":[0.000002788171,0.000007938565,0.00007194822,0.00004045289,5.685382e-7,0.000009032641,0.000008709783,0.0000171465,0.000008726228,0.0005544365,0.9778625,0.02141573],"study_design_scores_gemma":[0.000003915302,0.000002086379,0.0005069803,0.000151708,0.000002895952,0.00002969629,0.00002438403,0.00002513321,0.00003208507,0.0005961475,0.9986217,0.000003174348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004049234,0.007757483,0.001703553,0.009277358,0.007997479,0.0002882869,0.03794118,0.001260788,0.933369],"genre_scores_gemma":[0.001753294,0.00556817,0.002678066,0.003515359,0.001361498,0.000175154,0.02216121,0.0006322124,0.9621551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5262122,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178096623314442,"score_gpt":0.3048423184759571,"score_spread":0.2870326561445129,"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."}}