{"id":"W7154014739","doi":"10.1145/3772318.3808881","title":"10.1145/3772318.3808881","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)","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":[0.002127957,0.00383492,0.002604493,0.003262,0.002657039,0.00575029,0.003067479,0.005130522,0.9431496],"category_scores_gemma":[0.003483083,0.002118208,0.001454351,0.01046954,0.001700349,0.01076565,0.006489828,0.002958609,0.9654112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002449593,"about_ca_system_score_gemma":0.001298339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027256,"about_ca_topic_score_gemma":0.01450134,"domain_scores_codex":[0.9991528,0.00005742309,0.00007136905,0.0002425882,0.000293885,0.000182014],"domain_scores_gemma":[0.9980982,0.0003820241,0.00008181648,0.0006379453,0.0004375925,0.0003624287],"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":[0.0002561896,0.0001828396,0.0004821484,0.0005658942,0.0000490923,0.0002139802,0.0001065923,0.0006912378,0.001434153,0.006140982,0.6921601,0.2977169],"study_design_scores_gemma":[0.00004289647,0.00003690107,0.0008630078,0.0002830943,0.00005273604,0.0001555423,0.0000950605,0.001010423,0.0006109189,0.001711714,0.9950966,0.00004110143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0024031,0.00569407,0.01693942,0.001564601,0.00263704,0.0005711417,0.01740868,0.02423741,0.9285446],"genre_scores_gemma":[0.003989256,0.002691493,0.002720295,0.0007547972,0.0001709026,0.000253843,0.009959154,0.002596391,0.9768638],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05685043,"threshold_uncertainty_score":0.08109015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003335681061711,"score_gpt":0.223380767077721,"score_spread":0.2133474102671039,"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."}}