{"id":"W7118174980","doi":"10.1145/3731599.3787536","title":"10.1145/3731599.3787536","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Visualization; Data visualization; Component (thermodynamics); Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00184067,0.003794209,0.002641157,0.003484522,0.002606548,0.005534076,0.003304434,0.005291436,0.9290164],"category_scores_gemma":[0.003826742,0.002099653,0.001527638,0.01065524,0.001576867,0.01178711,0.006580915,0.003183882,0.9586323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002487825,"about_ca_system_score_gemma":0.001274795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244814,"about_ca_topic_score_gemma":0.01579293,"domain_scores_codex":[0.99921,0.00005484217,0.00006681166,0.0002250745,0.0002927797,0.0001503926],"domain_scores_gemma":[0.998151,0.0003975434,0.00008261279,0.0006437578,0.0004048538,0.00032032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002144526,0.0001460013,0.0004285203,0.0005816526,0.00004904257,0.0001931249,0.00009767298,0.0006717978,0.001166288,0.005408043,0.7112079,0.2798356],"study_design_scores_gemma":[0.00003412234,0.00003023343,0.0007901006,0.0002786239,0.00004802293,0.0001607186,0.0000709634,0.0007792397,0.0005646918,0.001559859,0.9956478,0.00003544621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002639792,0.00951534,0.02013064,0.002098741,0.00316364,0.0006357793,0.03110066,0.03082083,0.8998945],"genre_scores_gemma":[0.004593045,0.004066749,0.003170048,0.0009012089,0.0002376291,0.0002788404,0.01630697,0.00360821,0.9668373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07098365,"threshold_uncertainty_score":0.1012495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009981016311600185,"score_gpt":0.22323526223398,"score_spread":0.2132542459223798,"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."}}