{"id":"W7064273864","doi":"","title":"Appendix C: Analysis of fatty acid compositions of archeological residues from 41CV595","year":2005,"lang":"en","type":"other","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fatty acid; Assemblage (archaeology); Residue (chemistry); Appendix","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":[],"consensus_categories":[],"category_scores_codex":[0.0004024613,0.001052251,0.00060578,0.003077066,0.0007865832,0.0002793262,0.001158955,0.0005827553,0.2228002],"category_scores_gemma":[0.002415798,0.000209544,0.0005820157,0.0052609,0.0001260272,0.0004070992,0.0003837688,0.0003360485,0.08785447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006405386,"about_ca_system_score_gemma":0.001243453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724625,"about_ca_topic_score_gemma":0.01728306,"domain_scores_codex":[0.9997082,0.00002499468,0.00004432465,0.0000534007,0.0001166801,0.00005235726],"domain_scores_gemma":[0.9982125,0.000473988,0.0001960042,0.0001849268,0.000790468,0.0001421959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.008150617,0.0008786337,0.02199961,0.004376398,0.000253131,0.00265542,0.0003128504,0.002331035,0.2738713,0.002137269,0.516194,0.1668398],"study_design_scores_gemma":[0.0006642978,0.000810943,0.2096537,0.0005929252,0.0002318008,0.001211403,0.0005602931,0.001252542,0.1031842,0.002326821,0.6793059,0.0002052394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03322859,0.0004241828,0.003813534,0.0001827111,0.0002658519,0.0002627301,0.9340687,0.0004728091,0.02728093],"genre_scores_gemma":[0.03434576,0.0009014164,0.01023689,0.0001488834,0.00008998338,0.0003389166,0.9121618,0.0002652994,0.04151089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2228002,"threshold_uncertainty_score":0.7453411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608911115015473,"score_gpt":0.280159773532008,"score_spread":0.2640706623818533,"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."}}