{"id":"W7024528630","doi":"","title":"Shibboleth at CISTI: Introducing, prototyping and extending","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Software prototyping; Rapid prototyping; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001673462,0.00005808623,0.00006348343,0.00001527069,0.0002068159,0.00001523363,0.00002722985,0.00001742592,0.006195305],"category_scores_gemma":[0.00007863752,0.00005279562,0.00001341805,0.00008504775,0.00007346815,0.0000646949,0.00007947126,0.00003687678,0.0001877243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006031423,"about_ca_system_score_gemma":0.000001610937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004452376,"about_ca_topic_score_gemma":0.00001430245,"domain_scores_codex":[0.9994689,0.00002706689,0.00008867819,0.0001837816,0.0001181337,0.0001133896],"domain_scores_gemma":[0.9998072,0.00002229221,0.00002715316,0.00009862716,0.000003252231,0.00004150895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002081407,0.00003751496,0.8271655,0.00001594842,0.00001471471,0.000004181987,0.001962617,0.0004531814,0.07025997,0.01503991,0.01178039,0.07324522],"study_design_scores_gemma":[0.0003751354,0.00002062323,0.5503822,0.00001036797,0.000008450951,0.00001679801,0.00009321223,0.002381609,0.002488588,0.005177994,0.4388331,0.0002119005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7182289,0.00006831394,0.002432067,0.0004656654,0.0000957773,0.0003092246,7.889756e-7,0.00005133425,0.278348],"genre_scores_gemma":[0.993381,0.00001236172,0.003947677,0.0001358624,0.00001846308,0.00001853033,6.408778e-7,0.00000495515,0.002480491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4270528,"threshold_uncertainty_score":0.9947132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519613281752412,"score_gpt":0.2429171128659981,"score_spread":0.227720980048474,"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."}}