{"id":"W1541935193","doi":"","title":"Semester performance index and cumulative performance index: the latest grading of marks in mark sheets of semester system in technical courses","year":2015,"lang":"en","type":"article","venue":"Journal of Drug Discovery and Therapeutics","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Grading (engineering); Academic year; Mathematics education; Meaning (existential); Index (typography); Quarter (Canadian coin); Synonym (taxonomy); Psychology; Statistics; Mathematics; Demography; History; Computer science; Sociology; Engineering; Biology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001954511,0.0005802496,0.0004286442,0.004450376,0.0004013082,0.00190757,0.0008587411,0.0004757631,0.01342246],"category_scores_gemma":[0.01266145,0.00008731662,0.0005796432,0.004668516,0.0003371924,0.00127916,0.0008450058,0.001081749,0.006916387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088336,"about_ca_system_score_gemma":0.0008864947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806439,"about_ca_topic_score_gemma":0.005103049,"domain_scores_codex":[0.9974586,0.0002946639,0.0002846637,0.0001835415,0.00160772,0.0001708428],"domain_scores_gemma":[0.989674,0.001049969,0.002830793,0.0003586356,0.004738952,0.001347756],"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":[0.0008133496,0.001212451,0.4108177,0.0003574531,0.0002059813,0.0001241615,0.0004683123,0.00479383,0.002597804,0.004214698,0.1578776,0.4165167],"study_design_scores_gemma":[0.00004140333,0.0007039993,0.9386364,0.00010354,0.00005394083,0.0001592193,0.0004638982,0.004847908,0.003577103,0.001770323,0.04954252,0.00009980911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6803647,0.002418739,0.01869135,0.00180924,0.00164924,0.0007947034,0.05494129,0.002337993,0.2369928],"genre_scores_gemma":[0.9200833,0.000871849,0.008093513,0.0001583501,0.0004545233,0.0003740504,0.02763876,0.0002831767,0.04204254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01342246,"threshold_uncertainty_score":0.04490262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04187548173688941,"score_gpt":0.354114324079436,"score_spread":0.3122388423425466,"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."}}