{"id":"W6930344010","doi":"10.5281/zenodo.11759309","title":"marketing strategy of adidas pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nike; Core (optical fiber); Strategic management; Plan (archaeology); Marketing strategy; Strategic planning; Brand strategy; Management strategy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005576509,0.000174516,0.0001592396,0.0001966673,0.0001743402,0.0001935643,0.0006609434,0.0002057003,0.04403428],"category_scores_gemma":[0.0005010152,0.0001808713,0.00007320791,0.0001783514,0.0001241,0.000003432533,0.0009036706,0.000271007,0.01643297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000201255,"about_ca_system_score_gemma":0.000005546026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001055201,"about_ca_topic_score_gemma":5.443414e-7,"domain_scores_codex":[0.9987819,0.000216316,0.0002461117,0.0003085354,0.0002202772,0.0002268517],"domain_scores_gemma":[0.9991112,0.000005450927,0.0001911312,0.0004713447,0.000140251,0.00008062124],"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":[0.00002688538,0.00002454445,6.801461e-7,0.000542152,0.00009714739,0.000003241538,0.00005412347,0.00001268144,0.003636471,0.0002007284,0.9632143,0.03218708],"study_design_scores_gemma":[0.0001505527,0.0001310278,0.00002578233,0.0001580314,0.00002200309,0.00004625279,0.00006446891,0.00008200434,0.0003648374,0.00001608374,0.998765,0.0001739817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001860133,0.00080786,0.000412275,0.00004871691,0.0001008001,0.0002296758,0.0002314446,0.000218707,0.9977645],"genre_scores_gemma":[0.008834779,0.0006425415,0.0009312926,0.00006282309,0.000531066,4.070953e-8,0.005470202,0.007986971,0.9755403],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03555071,"threshold_uncertainty_score":0.9843329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389045365507176,"score_gpt":0.2495882560685853,"score_spread":0.2356978024135136,"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."}}