{"id":"W7031201313","doi":"","title":"Art by the Yard","year":2015,"lang":"en","type":"other","venue":"Original","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Yard; Textile; Clothing; Feature (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006105763,0.001213482,0.0005122313,0.001851192,0.007326901,0.01122273,0.001211932,0.001436528,0.5024274],"category_scores_gemma":[0.001980858,0.0003855154,0.0007302298,0.002142712,0.002480108,0.003765668,0.003858381,0.003536328,0.2831751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004561017,"about_ca_system_score_gemma":0.004843594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1251726,"about_ca_topic_score_gemma":0.2933874,"domain_scores_codex":[0.9992195,0.00005767748,0.00001932282,0.000104284,0.000456382,0.0001428189],"domain_scores_gemma":[0.999027,0.00007778797,0.0000233734,0.0001928023,0.0004198105,0.0002592878],"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":[0.00001521511,0.000007680881,0.00007541876,0.00004014532,0.000002410488,0.00003523256,0.0002603207,0.00004563843,0.0001217249,0.01634484,0.9388293,0.04422209],"study_design_scores_gemma":[0.000001046924,0.000001256008,0.00009151211,0.00002661446,5.822647e-7,0.00002765323,0.0001272481,0.00001382896,0.0000325056,0.0005295092,0.9991456,0.000002661363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004282896,0.002215296,0.001244252,0.00365442,0.004429015,0.00004199378,0.001045199,0.001037202,0.9859044],"genre_scores_gemma":[0.002118692,0.0008383277,0.0003882022,0.0005844899,0.0003626774,0.00001046339,0.0002801885,0.0005304677,0.9948865],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5024274,"threshold_uncertainty_score":0.7097269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005865756088933193,"score_gpt":0.2589584048937866,"score_spread":0.2530926488048534,"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."}}