{"id":"W4411657003","doi":"10.51847/coa5ebuy2m","title":"10.51847/COA5EbUy2m","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures studies; Revenue; Business; Natural resource economics; Economics; Computer science; Finance; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006885332,0.001177525,0.0006633559,0.002410205,0.001928401,0.004352572,0.001392236,0.003473414,0.9544357],"category_scores_gemma":[0.001589376,0.00041484,0.0005955856,0.002566949,0.001064485,0.002664503,0.002892653,0.00135344,0.9481194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353738,"about_ca_system_score_gemma":0.0008476356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031283,"about_ca_topic_score_gemma":0.002744018,"domain_scores_codex":[0.9994721,0.00006336475,0.00003724673,0.0001635418,0.0001794442,0.00008426879],"domain_scores_gemma":[0.9987317,0.0002513633,0.00007999664,0.0002164062,0.0004347304,0.0002858829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002205887,0.0001667534,0.0008995309,0.0005427589,0.00001405568,0.0003158844,0.0001377442,0.0003561272,0.002577672,0.01108161,0.2985263,0.685161],"study_design_scores_gemma":[0.00001773811,0.00002989742,0.000451652,0.0001981718,0.000005739374,0.000196368,0.00009951484,0.0003560462,0.000578659,0.001469829,0.9965809,0.00001545646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000816181,0.000807021,0.00153713,0.0008327654,0.0006508313,0.00009924413,0.0008197728,0.001286441,0.9931507],"genre_scores_gemma":[0.003813555,0.0003795177,0.001073174,0.000352246,0.00007054271,0.00005493159,0.0005799523,0.0003109479,0.9933651],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04556429,"threshold_uncertainty_score":0.06499183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006522264761081685,"score_gpt":0.1723684057786673,"score_spread":0.1658461410175856,"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."}}