{"id":"W4409787870","doi":"10.61091/jcmcc127a-478","title":"A Study on the Influence Path of Corporate Marketing Strategies on Consumer Purchase Intention Based on XG Boost Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Business; Marketing; Algorithm; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00213677,0.0006615613,0.0009012175,0.001783585,0.0006658155,0.001321966,0.0007764091,0.000549874,0.00420528],"category_scores_gemma":[0.005383753,0.0004469625,0.001359311,0.002307453,0.0003291088,0.001413986,0.0005493896,0.0008194127,0.000253209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006934736,"about_ca_system_score_gemma":0.001734858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008932943,"about_ca_topic_score_gemma":0.003357531,"domain_scores_codex":[0.9992121,0.0003128554,0.00004287131,0.0001644305,0.0001872883,0.00008045948],"domain_scores_gemma":[0.9977474,0.001755812,0.00006906594,0.00006926936,0.0002837726,0.00007458343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006362679,0.001534602,0.2450848,0.0008412011,0.000864727,0.0004464791,0.00249475,0.1156872,0.003535033,0.03039273,0.004560319,0.593922],"study_design_scores_gemma":[0.0001325043,0.0005849255,0.05834173,0.0001095016,0.000389126,0.0001441967,0.0006377641,0.9297051,0.001415126,0.006277792,0.00221953,0.00004279235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7060538,0.0009297692,0.2820797,0.000593866,0.0001161557,0.0005485456,0.0002077762,0.0005978061,0.008872686],"genre_scores_gemma":[0.9113058,0.0007871105,0.08362053,0.00009012609,0.00003311843,0.0005184771,0.0003841525,0.00006103961,0.003199647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008932943,"threshold_uncertainty_score":0.01776189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207567014711343,"score_gpt":0.2586912250571509,"score_spread":0.2366155549100375,"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."}}