{"id":"W4399579097","doi":"10.23977/jaip.2024.070215","title":"Research on the Influence Mechanism of AI Platform Technology Innovation on Marketing Conversion Rate of Partners—Take Hualin International AI Technology Innovation and Application as an Example","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Business; Technology innovation; Knowledge management; Marketing; Industrial organization; Computer science; Physics","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":[0.002345213,0.0002926167,0.0003653519,0.002895517,0.0007572128,0.002874452,0.0003844018,0.0006235202,0.006499387],"category_scores_gemma":[0.009996067,0.0001860593,0.0008456333,0.002041859,0.0008246833,0.00330357,0.0009610247,0.0007514926,0.000433088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527233,"about_ca_system_score_gemma":0.001462805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003776384,"about_ca_topic_score_gemma":0.001933986,"domain_scores_codex":[0.9983866,0.00038335,0.00009657038,0.0003014374,0.0005791493,0.0002529011],"domain_scores_gemma":[0.9914164,0.005444655,0.001145713,0.0002650956,0.001207266,0.0005208459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006380277,0.0006109222,0.6894651,0.0008064903,0.000383427,0.001817955,0.008091998,0.00573028,0.009122862,0.09147134,0.002818866,0.1890427],"study_design_scores_gemma":[0.00009414768,0.0005476763,0.9064161,0.0002585354,0.0005883161,0.001168365,0.01303777,0.02681987,0.01057373,0.0213685,0.01896379,0.0001631424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553839,0.001528526,0.005174673,0.0007890923,0.00005867621,0.0001251612,0.0001058925,0.00003794778,0.03679618],"genre_scores_gemma":[0.9970988,0.0006357277,0.0005079241,0.00003440777,0.00002222951,0.00002792598,0.00003586133,0.000004659171,0.001632449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006499387,"threshold_uncertainty_score":0.02174258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1231662524297712,"score_gpt":0.4149376168093095,"score_spread":0.2917713643795383,"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."}}