{"id":"W2389144023","doi":"","title":"Data Processing of Sedimentation Analysis by Analytical Method and by Excel","year":2013,"lang":"en","type":"article","venue":"Research and Exploration in Laboratory","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Curve fitting; Microsoft excel; Sedimentation; Function (biology); Solver; Computer science; RADIUS; Data processing; Distribution (mathematics); Ms excel; Algorithm; Mathematics; Mathematical analysis; Geology; Programming language; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.001606495,0.00006923292,0.0001488374,0.0003212257,0.0001058296,0.0003036077,0.0003222702,0.00004340833,0.00001084842],"category_scores_gemma":[0.00009806224,0.00006283502,0.000007009664,0.001936873,0.00008336476,0.002309232,0.0003089943,0.0001361988,0.000002722676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002165353,"about_ca_system_score_gemma":0.00007379214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002184126,"about_ca_topic_score_gemma":0.00001644721,"domain_scores_codex":[0.9985471,0.0002378624,0.0002428112,0.0003855775,0.0003769329,0.000209744],"domain_scores_gemma":[0.9990119,0.000188303,0.00005652532,0.0003406347,0.0002950953,0.0001075957],"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":[0.00006438373,0.0009584205,0.1155134,0.0005307191,0.0004620373,0.00001135979,0.01359791,0.001149606,0.1068267,0.01362528,0.1686991,0.5785611],"study_design_scores_gemma":[0.00022956,0.00008260809,0.004026806,0.00002178423,0.00001175194,3.029213e-7,0.0007557082,0.9890154,0.003114298,0.00159917,0.001033162,0.00010945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.202217,0.00159629,0.7940154,0.00172893,0.00002324588,0.0002065435,0.00003840593,0.00003138749,0.0001427752],"genre_scores_gemma":[0.9770748,0.000157908,0.02255536,0.0000550356,0.000021206,0.00002141167,0.00008475387,0.000005272057,0.00002424229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9878658,"threshold_uncertainty_score":0.2927696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119954840456858,"score_gpt":0.4199055752946459,"score_spread":0.2999507348377879,"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."}}