{"id":"W3146289874","doi":"10.14288/1.0108665","title":"AMS lighter footprint strategy","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Footprint; Computer science; Geography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.00009185385,0.00002845802,0.0002051223,0.00003431932,0.0001034655,0.00001355207,0.0001273822,0.001053272,0.0001798298],"category_scores_gemma":[0.00001389604,0.00009168569,0.00009373702,0.0001349227,0.0002635118,0.00004100618,0.00006222811,0.0006737788,0.00005540304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000188974,"about_ca_system_score_gemma":0.00003272081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01227036,"about_ca_topic_score_gemma":0.02536226,"domain_scores_codex":[0.9994247,0.00002019005,0.000075191,0.0002178331,0.00010116,0.0001609525],"domain_scores_gemma":[0.9995362,0.00001429391,0.00005096946,0.0002398997,0.00007349285,0.00008515621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002454381,0.0001681375,0.01180611,0.00008049091,0.0001061534,0.0002229251,0.00006014247,0.000002053663,0.002037825,0.00008647244,0.003436868,0.9819683],"study_design_scores_gemma":[0.001177709,0.0002725181,0.9907369,0.0001365856,0.00007210609,0.000217071,0.0003023931,0.0001084719,0.00003003132,0.0004249773,0.006418154,0.0001030916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800853,0.0001068406,0.0008373233,0.001891429,0.00009403336,0.0001173261,0.000005248569,0.0001096807,0.01675284],"genre_scores_gemma":[0.9963706,0.0001969229,0.0003663985,0.0001306604,0.00002611119,1.162876e-7,0.000006224849,0.000007214728,0.002895716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9818652,"threshold_uncertainty_score":0.994307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006062786580274022,"score_gpt":0.1699695587141574,"score_spread":0.1639067721338834,"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."}}