{"id":"W4393515195","doi":"10.5281/zenodo.7539093","title":"CCG Starter Data Kit: Indonesia","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Starter; Biology; 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":[0.001261748,0.002842766,0.001658453,0.004353208,0.0007284723,0.00196459,0.002636296,0.00216812,0.06299239],"category_scores_gemma":[0.004178865,0.0009628463,0.00154279,0.005661484,0.0005061103,0.001649624,0.002100767,0.002502162,0.1515706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179514,"about_ca_system_score_gemma":0.002521824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021751,"about_ca_topic_score_gemma":0.04175005,"domain_scores_codex":[0.9989164,0.0001493893,0.0001355558,0.0002925037,0.0002802155,0.0002259918],"domain_scores_gemma":[0.9975757,0.0004156553,0.00022066,0.0007358214,0.0006187434,0.0004334206],"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":[0.000076432,0.00006533275,0.0005757594,0.0003690383,0.00002068135,0.00002235812,0.00002265464,0.0003635582,0.0002137762,0.0001892522,0.9952276,0.002853617],"study_design_scores_gemma":[0.0004760395,0.00005406927,0.006942193,0.0003141979,0.00005036207,0.00009332448,0.0001787821,0.002032897,0.001394881,0.00132938,0.9870483,0.00008567056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002745858,0.00003757836,0.00009705038,0.00004270228,0.00003125378,0.00002833632,0.9977737,0.00096195,0.0007527378],"genre_scores_gemma":[0.0002897126,0.00002380834,0.0003692337,0.00002816663,0.000004616125,0.00009521509,0.9981675,0.0001566628,0.0008649609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06299239,"threshold_uncertainty_score":0.2107306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09905459183795476,"score_gpt":0.3137856492172049,"score_spread":0.2147310573792502,"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."}}