{"id":"W4393508697","doi":"10.5281/zenodo.7539356","title":"CCG Starter Data Kit: Malaysia","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Starter; Computer science; Chemistry; Food 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":[0.001224373,0.002945597,0.001382825,0.004688435,0.0005996333,0.001718066,0.00227794,0.00192866,0.06327471],"category_scores_gemma":[0.004412664,0.0009706824,0.001273386,0.006506279,0.0004071021,0.001850807,0.002146845,0.002122261,0.172769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146197,"about_ca_system_score_gemma":0.003185818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03680865,"about_ca_topic_score_gemma":0.07780942,"domain_scores_codex":[0.9990055,0.0001391947,0.0001102296,0.0002385958,0.0002576227,0.0002488864],"domain_scores_gemma":[0.9972048,0.0003389731,0.000263338,0.0008468846,0.0008432547,0.0005026869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006277887,0.00002629015,0.0005987622,0.0002430951,0.00001475997,0.00001348165,0.00001596539,0.0003480662,0.0001511405,0.0001682023,0.9960338,0.00232366],"study_design_scores_gemma":[0.0002838908,0.00004010102,0.006824017,0.0003166822,0.00003102682,0.00006852777,0.0001435421,0.001469186,0.001353162,0.001165545,0.9882315,0.00007279259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001840586,0.00003550312,0.00006572557,0.00003218599,0.00001930186,0.00001424473,0.9983816,0.0007473867,0.0005199717],"genre_scores_gemma":[0.0002623371,0.00002921263,0.0002557864,0.00002576263,0.000003769395,0.00004387473,0.9982602,0.0001300828,0.000989026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06327471,"threshold_uncertainty_score":0.211675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07580424893182061,"score_gpt":0.2593245145829399,"score_spread":0.1835202656511193,"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."}}