{"id":"W4296213497","doi":"10.1155/2022/7071279","title":"A Fuzzy Ecosystem Benchmarking for Crowdfunding in Transport Sector","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Fuzzy logic; Identification (biology); Linkage (software); Dependency (UML); Computer science; Business; Field (mathematics); Operations research; Marketing; Environmental economics; Economics; Engineering; Mathematics; Artificial intelligence; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007399884,0.0001752249,0.0003491067,0.0006555974,0.0002151806,0.00005574428,0.0002332845,0.00003895551,0.00005809222],"category_scores_gemma":[0.00003896722,0.0001925796,0.0002216299,0.0007474129,0.0000129133,0.002229712,0.000005735031,0.0003312483,0.000001800936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012039,"about_ca_system_score_gemma":0.00005032227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002303268,"about_ca_topic_score_gemma":0.0005851791,"domain_scores_codex":[0.9981869,0.000008285675,0.0009007498,0.0002212739,0.0003892562,0.0002935393],"domain_scores_gemma":[0.9986791,0.00007168152,0.000969312,0.00008937963,0.0001756724,0.00001483221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003731279,0.0007258902,0.2612648,0.002563741,0.0001448814,0.0006155905,0.002783517,0.6183526,0.02266955,0.05672082,0.0006497086,0.02977759],"study_design_scores_gemma":[0.01050773,0.000638349,0.779128,0.001195569,0.0002656012,0.00006915179,0.005809983,0.002185785,0.0009720743,0.02933072,0.1685716,0.001325489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911396,0.0001270969,0.005983917,0.0001605163,0.001323216,0.0004170306,0.00004106162,0.0000341701,0.0007733947],"genre_scores_gemma":[0.997251,0.000007834545,0.001863982,0.0001469344,0.0005054899,0.00006178186,0.00008262545,0.00004197531,0.00003831999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6161668,"threshold_uncertainty_score":0.7853167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454682685288281,"score_gpt":0.2277440330303798,"score_spread":0.213197206177497,"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."}}