{"id":"W2997828687","doi":"","title":"One Way to the Top: How Services Boost the Demand for Goods","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Goods and services; Complementarity (molecular biology); Complementary good; Business; Product market; Commerce; Market power; Competition (biology); Markup language; Industrial organization; Product (mathematics); Speciality goods; Quality (philosophy); Market share; Economics; Microeconomics; Marketing; Market economy; Incentive; Monopoly","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":[0.0004279203,0.0004065594,0.0007883966,0.0009561016,0.0007835997,0.003554574,0.000439083,0.001142354,0.0294701],"category_scores_gemma":[0.003725064,0.0002490753,0.0009619573,0.001483968,0.001107061,0.003112757,0.001379001,0.00129917,0.003156058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321065,"about_ca_system_score_gemma":0.0008670858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124993,"about_ca_topic_score_gemma":0.01194674,"domain_scores_codex":[0.9996359,0.0001002817,0.00001091433,0.00008796979,0.00007055788,0.00009433903],"domain_scores_gemma":[0.9980652,0.0008082858,0.0003647926,0.0002181646,0.0001645682,0.0003790034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003209956,0.001215997,0.2372281,0.002338409,0.001164365,0.002382757,0.003254309,0.0474181,0.03569265,0.3469613,0.05570595,0.2634281],"study_design_scores_gemma":[0.0007679506,0.001282911,0.2271965,0.0007297833,0.001188453,0.001154427,0.007375398,0.06640357,0.02203709,0.443769,0.2277406,0.0003543741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8475478,0.00496953,0.01977502,0.01979093,0.0003054511,0.00005564134,0.004208493,0.0005460353,0.1028012],"genre_scores_gemma":[0.9870837,0.001027814,0.002631702,0.001335384,0.0001411286,0.000009756371,0.0005140521,0.0000921315,0.007164436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0294701,"threshold_uncertainty_score":0.09858733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08722162740058728,"score_gpt":0.2919730116467458,"score_spread":0.2047513842461585,"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."}}