{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006165536,0.001298979,0.0007109938,0.002263227,0.00198143,0.004207269,0.0009771531,0.002535243,0.9683554],"category_scores_gemma":[0.001631832,0.0007106141,0.0005236961,0.002083169,0.001183343,0.002804106,0.002102054,0.001929006,0.9678092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002361974,"about_ca_system_score_gemma":0.001175024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005710654,"about_ca_topic_score_gemma":0.01058524,"domain_scores_codex":[0.999514,0.00004750835,0.00003879309,0.0001380717,0.0001750882,0.00008650351],"domain_scores_gemma":[0.9986829,0.000161943,0.00006480246,0.0002404876,0.0004462622,0.0004036708],"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":[0.00009810586,0.0001750366,0.0009906527,0.000187165,0.000008894791,0.0001314,0.00005999958,0.0001205543,0.0009007488,0.009494384,0.6810421,0.306791],"study_design_scores_gemma":[0.00001502476,0.000008885892,0.0007795186,0.0001271568,0.000004544785,0.0001683893,0.00005282846,0.00009362412,0.0002034607,0.0009825953,0.9975547,0.000009352065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003651282,0.0003662398,0.0002623359,0.00103136,0.0005991389,0.00003112176,0.001183739,0.0004279085,0.9957331],"genre_scores_gemma":[0.001547435,0.0002464879,0.0001593218,0.0004451098,0.000105998,0.00001974092,0.000405145,0.0001175487,0.9969532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03164464,"threshold_uncertainty_score":0.04513723,"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."}}