{"id":"W4288003066","doi":"","title":"International Conference on Intelligent Textiles & Mass Customisation – ITMC 2019","year":2019,"lang":"en","type":"article","venue":"Hrčak Portal of scientific journals of Croatia (University Computing Centre)","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001390115,0.0001609095,0.000330676,0.0004230198,0.0002136572,0.0002001757,0.0006887045,0.00007615711,0.0147585],"category_scores_gemma":[0.00006997925,0.0001651622,0.0001491324,0.0002898031,0.0002634376,0.0004452321,0.0001742386,0.0001154195,0.000649324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007794837,"about_ca_system_score_gemma":0.0001818217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008378144,"about_ca_topic_score_gemma":0.00002626255,"domain_scores_codex":[0.9977689,0.0001300957,0.0005391865,0.0003943311,0.0008841114,0.0002834205],"domain_scores_gemma":[0.997658,0.00009107953,0.001001673,0.0003576429,0.0007720868,0.0001195315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009195531,0.0001958592,0.002349369,0.0000431296,0.00003823205,0.000005026147,0.002170837,0.006438291,0.9756334,0.007970476,0.002988915,0.002074465],"study_design_scores_gemma":[0.005969061,0.0004456742,0.1226446,0.003567042,0.0004117898,0.00008820216,0.02699953,0.08640314,0.7182627,0.006158715,0.02680589,0.002243704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863661,0.00002056885,0.003097196,0.0004322459,0.003188672,0.0002288735,0.0001319915,0.00003172837,0.006502628],"genre_scores_gemma":[0.9946133,0.00002361664,0.002578635,0.00001190691,0.00005742495,2.790599e-8,0.00006051257,0.000009305449,0.002645207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2573708,"threshold_uncertainty_score":0.9861422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04632679992117242,"score_gpt":0.2814079623845177,"score_spread":0.2350811624633452,"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."}}