{"id":"W4400619273","doi":"10.21275/sr24705234246","title":"AI - Powered Financial Planning and Analysis (FP and A) Using Cloud Computing","year":2024,"lang":"en","type":"article","venue":"International Journal of Science and Research (IJSR)","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Cloud computing; Computer science; Finance; Business; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03895624,0.00009144064,0.0002445122,0.003569643,0.000551768,0.002401894,0.0008898621,0.00004802347,0.00003151249],"category_scores_gemma":[0.018835,0.00006217362,0.00007109564,0.003339825,0.001783005,0.0009847465,0.0007005623,0.0005406495,0.000001519763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133144,"about_ca_system_score_gemma":0.0007098246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003763523,"about_ca_topic_score_gemma":0.000002827407,"domain_scores_codex":[0.9936689,0.0003318901,0.0005746338,0.0004134166,0.004689132,0.0003219876],"domain_scores_gemma":[0.9931352,0.003455374,0.000182064,0.0001173958,0.002855685,0.0002542418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003174054,0.00005696666,0.2630474,0.0000231167,0.0003701794,0.001180379,0.007941468,0.001483474,0.02410572,0.005645736,0.002911255,0.6929169],"study_design_scores_gemma":[0.0004708476,0.0002280375,0.3205875,0.0005358749,0.00006758303,0.001630837,0.002153333,0.6206685,0.0008420523,0.04587566,0.006717867,0.0002219031],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968533,0.001729749,0.02546932,0.002484718,0.001199345,0.00004694976,0.000005596999,0.000006096835,0.0005252424],"genre_scores_gemma":[0.9900819,0.0000491776,0.009185951,0.0001205541,0.0004641645,2.140057e-7,1.543194e-7,0.000004372055,0.00009351324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.692695,"threshold_uncertainty_score":0.9986337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2888782790525027,"score_gpt":0.5797526629908598,"score_spread":0.2908743839383571,"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."}}