{"id":"W4387668534","doi":"10.1080/13691066.2023.2265565","title":"Lexical sophistication and crowdfunding outcomes","year":2023,"lang":"en","type":"article","venue":"Venture Capital","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Sophistication; Optimal distinctiveness theory; Sample (material); Psychology; Perception; Marketing; Business; Social psychology; Sociology","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":[0.003481599,0.0002594945,0.000277518,0.001080283,0.0008143197,0.003011821,0.0002766657,0.0007187788,0.009247846],"category_scores_gemma":[0.03598202,0.000146279,0.0001894623,0.0006189794,0.001193159,0.001906426,0.002215173,0.0007902864,0.0007015102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004902532,"about_ca_system_score_gemma":0.0003205387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123522,"about_ca_topic_score_gemma":0.001237803,"domain_scores_codex":[0.9975168,0.001156555,0.0002618759,0.0002331088,0.0005643232,0.0002673972],"domain_scores_gemma":[0.9513376,0.0275069,0.01471937,0.002323748,0.001516614,0.002595714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002361498,0.002482476,0.8439433,0.000415336,0.0001763292,0.001388277,0.02862654,0.001811237,0.02038358,0.005916741,0.002023695,0.09047098],"study_design_scores_gemma":[0.0001104239,0.001160187,0.9621578,0.0001330649,0.00007794689,0.0005322204,0.01443632,0.002037127,0.003542311,0.009529855,0.006156523,0.0001260886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925458,0.00005307568,0.0003252576,0.0001383705,0.000006865593,0.00003796507,0.00009025206,0.00001443496,0.006787914],"genre_scores_gemma":[0.9987755,0.0000234526,0.000252963,0.00002657184,0.000009042423,0.00002773811,0.00005809959,0.000005523143,0.0008209628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009247846,"threshold_uncertainty_score":0.03093708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853407877829255,"score_gpt":0.2328668721403413,"score_spread":0.2143327933620488,"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."}}