{"id":"W4390397428","doi":"10.3917/sh.191.0015","title":"10.3917/sh.191.0015","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cache; Parallel computing","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":[0.0006012256,0.001416242,0.000671503,0.001772552,0.001724156,0.003809538,0.001052768,0.002461298,0.9743542],"category_scores_gemma":[0.001142875,0.0005602006,0.0006086474,0.001502616,0.001559476,0.00259704,0.002604876,0.001483846,0.9732044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485458,"about_ca_system_score_gemma":0.001255388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005514418,"about_ca_topic_score_gemma":0.007191626,"domain_scores_codex":[0.9996818,0.00002502639,0.00002298945,0.00009822589,0.0001066916,0.0000652786],"domain_scores_gemma":[0.9988549,0.0001688045,0.00005177445,0.0002247395,0.0003147167,0.0003851071],"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":[0.0002020479,0.0002616318,0.001154297,0.0002622185,0.00001431362,0.000172873,0.0001453604,0.0001759515,0.001883621,0.008457602,0.566749,0.4205211],"study_design_scores_gemma":[0.00003808641,0.00003772373,0.001244217,0.000218505,0.00001211475,0.0001868393,0.0001657495,0.0002128483,0.0006634396,0.001694956,0.9955084,0.00001720093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006534874,0.0001966514,0.0005356435,0.0005619602,0.0003901095,0.00004808161,0.0009450036,0.001159342,0.9955096],"genre_scores_gemma":[0.002090673,0.0001683353,0.0002142593,0.0003050291,0.00005928691,0.00002464172,0.0004749527,0.0002147262,0.9964482],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02564579,"threshold_uncertainty_score":0.03658062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06444698265692139,"score_gpt":0.2251784613022695,"score_spread":0.1607314786453481,"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."}}