{"id":"W3121418798","doi":"10.1109/hicss.2014.559","title":"Solving the Puzzle of Crowdfunding: Where Technology Affordances and Institutional Entrepreneurship Collide","year":2014,"lang":"en","type":"article","venue":"","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Affordance; Entrepreneurship; Globe; Information and Communications Technology; Public relations; Entrepreneurial finance; Business; Investment (military); Field (mathematics); Empirical research; Political science; Computer science; Finance; Psychology; Epistemology","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":[0.008405093,0.0004533514,0.0007847142,0.004033164,0.006075365,0.01493253,0.001343193,0.002901985,0.008223301],"category_scores_gemma":[0.02434759,0.0005954822,0.0005402209,0.003164413,0.03187786,0.02222472,0.02000904,0.003216223,0.0004267835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002021,"about_ca_system_score_gemma":0.00311161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002531128,"about_ca_topic_score_gemma":0.004050914,"domain_scores_codex":[0.9941408,0.003069995,0.0002228266,0.0007866805,0.0008019214,0.0009776774],"domain_scores_gemma":[0.9672002,0.02188984,0.005935431,0.001949433,0.0009723508,0.002052956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001446478,0.0001241147,0.03921731,0.0003275015,0.00009123812,0.00257382,0.08665647,0.001088533,0.0005967884,0.8140281,0.003271496,0.05188002],"study_design_scores_gemma":[0.00004574095,0.00008398474,0.02301487,0.0007985207,0.00007757747,0.001175951,0.1745029,0.001727353,0.0004259029,0.7479011,0.05014142,0.0001046464],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7597486,0.006237071,0.03208462,0.05927518,0.000270212,0.00007284486,0.0001224814,0.0001083392,0.1420807],"genre_scores_gemma":[0.9969253,0.0006652277,0.001059256,0.0004432118,0.00005778603,0.00001674707,0.0000111913,0.00001966945,0.0008017156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01493253,"threshold_uncertainty_score":0.04445088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102847382760711,"score_gpt":0.2001464483703149,"score_spread":0.1891179745427078,"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."}}