{"id":"W4411656958","doi":"10.51847/jmx3v2wer8","title":"10.51847/jMx3v2weR8","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Psychology","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":[0.001278348,0.00127661,0.0009312251,0.003296545,0.001376696,0.005487411,0.001606243,0.003167254,0.9542237],"category_scores_gemma":[0.002561802,0.0004123503,0.0009606851,0.003654944,0.0008874654,0.002528357,0.003437032,0.001397456,0.9539416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038381,"about_ca_system_score_gemma":0.001098193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002767501,"about_ca_topic_score_gemma":0.001392263,"domain_scores_codex":[0.9988998,0.0001925686,0.0001043477,0.0002386217,0.0004126696,0.0001518773],"domain_scores_gemma":[0.9978064,0.0004855905,0.0001510649,0.0004486988,0.0006303731,0.0004778091],"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":[0.0001580526,0.0002288994,0.001554326,0.0006110577,0.00001781964,0.0002199992,0.0001831744,0.000221052,0.002898631,0.00501368,0.2923369,0.6965564],"study_design_scores_gemma":[0.00003442883,0.0000635493,0.001925897,0.0004773485,0.00001299709,0.0003248452,0.0001744399,0.0003866781,0.0008020669,0.001952913,0.9938154,0.00002949224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001760234,0.0008361685,0.002449493,0.001140458,0.0007274603,0.0002107072,0.002505411,0.004047531,0.9863225],"genre_scores_gemma":[0.007407235,0.0006323185,0.002556307,0.0006995017,0.0002810326,0.0001624882,0.002665258,0.000868285,0.9847276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04577631,"threshold_uncertainty_score":0.06529433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00841304028371737,"score_gpt":0.178958497447153,"score_spread":0.1705454571634356,"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."}}