{"id":"W7132395261","doi":"","title":"AstraZeneca (China): Leveraging Offline Doctor-Patient Relationships in Online Healthcare Service Platform","year":2022,"lang":"en","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Competitor analysis; Pharmaceutical marketing; Pharmaceutical industry; The Internet; Online and offline; Medical prescription; Service (business); Procurement; Competitive advantage","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005027074,0.0008200905,0.0007588643,0.001579063,0.001127694,0.00007690241,0.0007443186,0.00064855,0.002387601],"category_scores_gemma":[0.0001945952,0.0009357942,0.0002272824,0.001390878,0.0002574129,0.0003491139,0.0004857684,0.002956454,0.0007256221],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004964761,"about_ca_system_score_gemma":0.002880521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007434703,"about_ca_topic_score_gemma":0.01115511,"domain_scores_codex":[0.9945301,0.0004104974,0.001274417,0.001265399,0.001763525,0.0007560537],"domain_scores_gemma":[0.997329,0.0001298721,0.0009132018,0.001083219,0.0001848716,0.0003598236],"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":[0.001527356,0.00634444,0.09854241,0.004334697,0.001370205,0.008336359,0.007293067,0.1249315,0.001532934,0.1101429,0.6312529,0.004391286],"study_design_scores_gemma":[0.001255372,0.0001080261,0.03183347,0.001264017,0.00007309801,0.0007492495,0.0005625683,0.0008647464,0.00003494346,0.0002563903,0.9619178,0.001080293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1005089,0.006191286,0.00006036471,0.000867499,0.006112656,0.002161248,0.0041751,0.001525431,0.8783976],"genre_scores_gemma":[0.6755797,0.0001368024,0.005645307,0.001350054,0.003786599,0.0006686602,0.02330915,0.002589454,0.2869342],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5914633,"threshold_uncertainty_score":0.9993438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04705211111879867,"score_gpt":0.2727900456347739,"score_spread":0.2257379345159752,"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."}}