{"id":"W6981741043","doi":"","title":"Expence Tracker Application Using MERN Stack","year":2023,"lang":"en","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"Stack (abstract data type); Track (disk drive); Call stack; Process (computing); Interface (matter); Tracking (education); Product (mathematics); Authorization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064122,0.0004605304,0.0003314151,0.0007787336,0.0003181824,0.001405927,0.001066737,0.0004894632,0.03059523],"category_scores_gemma":[0.002400486,0.0003697397,0.0003316085,0.0003185718,0.000203858,0.001460556,0.001457084,0.0006630623,0.01571111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143941,"about_ca_system_score_gemma":0.0005795999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008808493,"about_ca_topic_score_gemma":0.001235753,"domain_scores_codex":[0.9992689,0.00009824602,0.00005817143,0.0001385548,0.0003820315,0.00005404853],"domain_scores_gemma":[0.9991308,0.000262847,0.00007875775,0.0002071894,0.0002489768,0.00007148641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00102002,0.0005598906,0.008592594,0.0008500501,0.00005352455,0.001647796,0.001328661,0.004455775,0.04119725,0.0241125,0.3347022,0.5814798],"study_design_scores_gemma":[0.0001635378,0.0001651937,0.006441461,0.0001828189,0.0000288799,0.001192263,0.0001833903,0.04191351,0.04134049,0.004748027,0.9034913,0.000149188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.05174391,0.0008669269,0.3197259,0.001079627,0.0006017111,0.0009619687,0.00569841,0.4132207,0.2061009],"genre_scores_gemma":[0.3270452,0.001347945,0.2539785,0.001273607,0.0002398681,0.001035154,0.01811231,0.04833494,0.3486325],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03059523,"threshold_uncertainty_score":0.1023512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06915598554116574,"score_gpt":0.2551876443031891,"score_spread":0.1860316587620234,"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."}}