{"id":"W203157900","doi":"10.1177/147078530204400402","title":"Needs-Based Segmentation: Principles and Practice","year":2002,"lang":"en","type":"article","venue":"International Journal of Market Research","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Market segmentation; Segmentation; Marketing; Business; Target market; Process (computing); Order (exchange); Market analysis; Industrial organization; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03795179,0.001316734,0.001183467,0.005341434,0.005458066,0.01201794,0.003623927,0.008829389,0.005461465],"category_scores_gemma":[0.02963796,0.0009219609,0.001184923,0.003329485,0.06498221,0.01525202,0.009668847,0.008618,0.001734617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01543213,"about_ca_system_score_gemma":0.01729095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004196794,"about_ca_topic_score_gemma":0.003223799,"domain_scores_codex":[0.9751695,0.01521545,0.001441007,0.002414444,0.004780999,0.0009786102],"domain_scores_gemma":[0.9817408,0.01070487,0.001473241,0.001066753,0.003131576,0.001882788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001650596,0.00004695325,0.0009127886,0.0002713281,0.00001534562,0.0001560817,0.009903796,0.0006853597,0.0001209139,0.9575268,0.004878261,0.02546598],"study_design_scores_gemma":[0.00001334423,0.00002463095,0.0003047194,0.0003322319,0.000005600134,0.0001614522,0.003869036,0.0008110542,0.0001472131,0.9601565,0.03415326,0.00002091435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01919551,0.01426133,0.3603975,0.3021953,0.001531399,0.001055586,0.0001145415,0.0003049172,0.3009439],"genre_scores_gemma":[0.6419625,0.01285765,0.2855167,0.03588553,0.001502812,0.002178243,0.0001356368,0.0002774014,0.01968351],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03795179,"threshold_uncertainty_score":0.2007106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7846353928304381,"score_gpt":0.6698849112162054,"score_spread":0.1147504816142327,"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."}}