{"id":"W4393775260","doi":"10.5281/zenodo.6542363","title":"CCG Starter Data Kit: Malaysia","year":2022,"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; Business; 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":[0.001224926,0.002969821,0.00137151,0.004744171,0.0006106133,0.00173155,0.002276476,0.001926823,0.06573237],"category_scores_gemma":[0.004355294,0.0009674287,0.001250202,0.006599631,0.0004070666,0.001857225,0.002137712,0.002105161,0.1754434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456517,"about_ca_system_score_gemma":0.003153798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0360641,"about_ca_topic_score_gemma":0.0759874,"domain_scores_codex":[0.9990094,0.0001389712,0.0001094998,0.0002422501,0.0002532568,0.000246618],"domain_scores_gemma":[0.9972299,0.0003472729,0.0002652314,0.0008437433,0.0008138678,0.0005000465],"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":[0.00006157873,0.00002714395,0.0006112718,0.0002472865,0.0000146465,0.00001353038,0.00001636392,0.0003433517,0.000146543,0.0001687042,0.9960693,0.002280243],"study_design_scores_gemma":[0.0002790159,0.00003961449,0.00680926,0.0003111366,0.0000305386,0.00006680435,0.0001447317,0.001392401,0.001296415,0.001121338,0.988437,0.00007187465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001809192,0.0000336486,0.0000622044,0.00003080287,0.00001824324,0.00001407453,0.9984348,0.0007100115,0.0005152131],"genre_scores_gemma":[0.0002575821,0.00002820926,0.0002466052,0.00002516105,0.000003636697,0.00004478782,0.9982929,0.0001269752,0.0009741922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06573237,"threshold_uncertainty_score":0.2198967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06089842158082104,"score_gpt":0.2478493542898567,"score_spread":0.1869509327090357,"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."}}