{"id":"W4283792026","doi":"10.1111/poms.13782","title":"Contingent stimulus in crowdfunding","year":2022,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upgrade; Stimulus (psychology); Business; Nothing; Cascade; Marketing; Computer science; Economics; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004501514,0.000124242,0.0001115467,0.0005148616,0.0006781486,0.000386177,0.000127771,0.00001277663,0.0002557646],"category_scores_gemma":[0.00007211068,0.0001408362,0.00002531272,0.0007859534,0.00003476801,0.0009630288,0.0004706552,0.000136305,0.00006397114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147318,"about_ca_system_score_gemma":0.000005902853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001628443,"about_ca_topic_score_gemma":0.0002328801,"domain_scores_codex":[0.9989063,0.0000103109,0.0002507767,0.0004080278,0.000208391,0.0002162557],"domain_scores_gemma":[0.9997126,0.000004390195,0.00005916346,0.000174289,0.00004194348,0.00000756286],"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":[0.00009312574,0.0007500504,0.04291792,0.0004185148,0.00006599165,0.00005939705,0.0003970954,0.07843573,0.0007896793,0.783545,0.02878854,0.06373896],"study_design_scores_gemma":[0.001187645,0.00004624128,0.05391764,0.00009400374,0.00006700071,0.00001896956,0.00377183,0.04226859,0.0001848023,0.003659819,0.8939685,0.0008150001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048343,0.0003558041,0.00254021,0.01066957,0.002358854,0.001606926,0.000004178965,0.0003227209,0.0773074],"genre_scores_gemma":[0.9908212,0.00002762042,0.0004255584,0.0008041262,0.0002458231,0.0003127272,0.00002394989,0.00001808463,0.007320859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.86518,"threshold_uncertainty_score":0.5743135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642979548711644,"score_gpt":0.2224822089794869,"score_spread":0.2060524134923705,"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."}}