{"id":"W3184560097","doi":"10.3917/dm.102.0142","title":"10.3917/dm.102.0142","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Management, Economics, and Public Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Adventure; Advertising; Marketing; Computer science; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002808374,0.0001868698,0.0002085791,0.0002854769,0.0001400806,0.0004677739,0.000431432,0.00005275349,0.9901314],"category_scores_gemma":[0.00004164452,0.0002063651,0.00008380144,0.0003077923,0.00002917739,0.0008440993,0.0001543015,0.00007595168,0.9876916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003178225,"about_ca_system_score_gemma":0.00001263538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006477595,"about_ca_topic_score_gemma":0.000003626617,"domain_scores_codex":[0.9988603,0.000006659935,0.0002640124,0.000319576,0.0001148701,0.0004346045],"domain_scores_gemma":[0.9994127,0.00001716597,0.00008715976,0.000405565,0.00003961859,0.00003776416],"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":[0.00002557596,0.0000364699,0.00000592826,0.00002496622,0.00002208296,0.000002365827,0.000004425414,0.00007353542,0.000001437422,0.0006020559,0.5953342,0.403867],"study_design_scores_gemma":[0.0002927102,0.00001007173,0.0003133004,0.000008726947,0.00002352386,6.591286e-7,0.000002073258,0.001632072,0.000001078393,0.0003034079,0.9971456,0.0002667567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00224529,0.00001698456,0.000002400727,0.002431571,0.0000182359,0.0002476662,0.000005749168,0.0002642527,0.9947678],"genre_scores_gemma":[0.002378516,9.128141e-7,0.00003136051,0.00365815,0.002008994,0.00002524852,0.00004046005,0.00003857552,0.9918178],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4036002,"threshold_uncertainty_score":0.8415325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009284863436311554,"score_gpt":0.1719538996906394,"score_spread":0.1626690362543279,"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."}}