{"id":"W6977002853","doi":"10.60692/mg8wn-gps20","title":"Leaf sculpture","year":2015,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sculpture; Photography; Port (circuit theory); Front (military)","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":[0.0001495476,0.000643009,0.0003528123,0.001260847,0.00350517,0.001718505,0.0006332875,0.0006271235,0.3599002],"category_scores_gemma":[0.0004219156,0.0002688248,0.0005087473,0.001265553,0.0005308649,0.0006146514,0.00106603,0.0009366713,0.06829527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003337145,"about_ca_system_score_gemma":0.002947791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5841721,"about_ca_topic_score_gemma":0.8858686,"domain_scores_codex":[0.9998659,0.000006718099,0.000001611984,0.00001686659,0.00006734351,0.00004149922],"domain_scores_gemma":[0.9997751,0.00001486322,0.000004039257,0.00003418963,0.0001020069,0.00006974443],"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":[0.0001198085,0.00002437021,0.001083068,0.0001533285,0.00001015912,0.0006640857,0.0009828423,0.0003851512,0.007228378,0.002358378,0.8852199,0.1017706],"study_design_scores_gemma":[0.000008051176,0.000010763,0.005918812,0.00006681331,0.000003500433,0.0002441381,0.0006795611,0.0002011875,0.0006440225,0.0001785476,0.9920289,0.00001570716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01683177,0.001293921,0.004950751,0.001554067,0.0009392626,0.0002624349,0.02092998,0.004387103,0.9488506],"genre_scores_gemma":[0.04937813,0.0005595378,0.003594756,0.0003459253,0.0000732234,0.00004081424,0.005444089,0.001700237,0.9388633],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5841721,"threshold_uncertainty_score":0.9130247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771284732574226,"score_gpt":0.2032766233277211,"score_spread":0.1455637760019788,"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."}}