{"id":"W3043358968","doi":"10.32617/543-6643b9e4957cd","title":"To Attract Crowdfunding, Mystify Them With Your Logo","year":2020,"lang":"en","type":"article","venue":"","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Logo (programming language); Business; Marketing; Advertising; 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":[0.001859437,0.0007469815,0.0004621646,0.002739541,0.005802139,0.008701964,0.0006203871,0.003398829,0.1976462],"category_scores_gemma":[0.01758883,0.0003119578,0.0003834833,0.001424241,0.001137338,0.004885239,0.003971757,0.002823861,0.08921943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258651,"about_ca_system_score_gemma":0.00315009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003595691,"about_ca_topic_score_gemma":0.009183896,"domain_scores_codex":[0.9981397,0.0002235847,0.000058884,0.0001490859,0.0008184295,0.0006102445],"domain_scores_gemma":[0.9834362,0.001518363,0.001324534,0.000690492,0.003653812,0.009376507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001951461,0.00006251653,0.001818154,0.00002130711,0.000002696579,0.00005332909,0.0002084317,0.00001149366,0.0002082196,0.001631182,0.9592943,0.0366689],"study_design_scores_gemma":[0.00002622401,0.00005178005,0.007210645,0.00008578424,0.000007283527,0.0002366149,0.00264481,0.0002018814,0.0003100046,0.002867819,0.9863241,0.0000329328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03860402,0.002835374,0.003344385,0.2747552,0.03271836,0.0003765558,0.002019873,0.005332895,0.6400134],"genre_scores_gemma":[0.09389514,0.001626304,0.003291868,0.04851228,0.01243864,0.0002389593,0.001048511,0.0009424913,0.8380058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1976462,"threshold_uncertainty_score":0.6611925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07510772307402955,"score_gpt":0.2411913416714083,"score_spread":0.1660836185973787,"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."}}