{"id":"W7053337136","doi":"","title":"2018 10 19 Willy Boivin du FM 93","year":2018,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Identification (biology); Statistical analysis","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":["insufficient_payload"],"category_scores_codex":[0.0005609404,0.0006880653,0.0003645805,0.0008634717,0.001860952,0.002794042,0.000608011,0.001793082,0.8059357],"category_scores_gemma":[0.001281987,0.0002578284,0.0003304503,0.0006110313,0.0005272806,0.0009087641,0.00136821,0.001301708,0.6362242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002919548,"about_ca_system_score_gemma":0.002808621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05301589,"about_ca_topic_score_gemma":0.1666561,"domain_scores_codex":[0.9994488,0.00003087926,0.00001281548,0.0001007799,0.0002998994,0.0001067142],"domain_scores_gemma":[0.9989095,0.00006518737,0.00003068153,0.0000808104,0.0005175552,0.0003962993],"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":[0.00002263031,0.00001897399,0.0001588032,0.00003403753,9.883305e-7,0.00004771735,0.00002767733,0.00002854956,0.0003963607,0.001497307,0.9536945,0.04407251],"study_design_scores_gemma":[0.000001499926,0.000005276301,0.0002551847,0.00001872714,2.963839e-7,0.00002017933,0.00001751438,0.00001389349,0.00006482183,0.00005858153,0.9995427,0.000001322433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005593792,0.001133243,0.0004535282,0.002832667,0.002580042,0.00006752657,0.001336248,0.0009615435,0.9900759],"genre_scores_gemma":[0.0007499847,0.0002238201,0.00009533694,0.0001546891,0.0000903221,0.000008058762,0.0002647041,0.0001170899,0.9982961],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1940643,"threshold_uncertainty_score":0.276809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005273670875185959,"score_gpt":0.1684412078688932,"score_spread":0.1631675369937073,"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."}}