{"id":"W1555012033","doi":"10.2139/ssrn.343420","title":"International Good Market Segmentation and Financial Innovation","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Market segmentation; Financial innovation; Segmentation; Financial system; Industrial organization; Marketing; Artificial intelligence; Computer science","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":[0.002105376,0.0002175774,0.0007780741,0.001850937,0.0007827407,0.004666925,0.0003199159,0.001479675,0.0207229],"category_scores_gemma":[0.01075465,0.0001448509,0.0004436532,0.002009976,0.003346717,0.005129296,0.002196127,0.0013567,0.0005863322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716408,"about_ca_system_score_gemma":0.0008711116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002529939,"about_ca_topic_score_gemma":0.002804092,"domain_scores_codex":[0.9992663,0.0002201351,0.00003339588,0.0001290162,0.00008408247,0.0002670815],"domain_scores_gemma":[0.9857948,0.006895206,0.00373676,0.000803126,0.0007050245,0.002065179],"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":[0.001171591,0.0007110633,0.1954849,0.0002261323,0.0002412214,0.0006612591,0.004398194,0.009309791,0.001658473,0.7059542,0.009654393,0.07052878],"study_design_scores_gemma":[0.0001631715,0.0002819179,0.2585625,0.0001019349,0.0001533324,0.0003150103,0.005919448,0.009017313,0.0008307355,0.709913,0.01469165,0.00005008866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706216,0.002200857,0.004397441,0.007313599,0.00008748729,0.00003784212,0.0002534938,0.00005727574,0.1150304],"genre_scores_gemma":[0.9969807,0.0002616124,0.0002254618,0.0001734375,0.00007792844,0.000005824158,0.00004968118,0.000006360841,0.002218934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0207229,"threshold_uncertainty_score":0.06932497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053669212898888,"score_gpt":0.223148347036809,"score_spread":0.2126116549078201,"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."}}