{"id":"W6990235998","doi":"","title":"2017 03 14 David Simard","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Political Developments and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Sequence (biology); Context (archaeology); Subject (documents)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005524713,0.0004809182,0.0006506059,0.00005809523,0.0006023633,0.0002378708,0.001063854,0.0007730983,0.7305598],"category_scores_gemma":[0.0007195094,0.0004809612,0.0002773616,0.000006888031,0.001122722,6.917054e-7,0.0002169291,0.0004117342,0.1235776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001842986,"about_ca_system_score_gemma":0.0002448794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01923601,"about_ca_topic_score_gemma":0.005227004,"domain_scores_codex":[0.9970719,0.000170227,0.0007707165,0.0003166271,0.0008493931,0.000821197],"domain_scores_gemma":[0.997417,0.0002185491,0.0009473679,0.0006134004,0.000352158,0.0004515774],"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":[0.00003104697,0.0000564169,0.000007056039,0.0002727575,0.0001014149,0.00003355098,0.00107493,0.00001359476,1.563608e-7,0.004982309,0.9724966,0.0209302],"study_design_scores_gemma":[0.0004647242,0.00008560604,0.000217803,0.000495841,0.00008461241,0.0000204314,0.0001446132,0.000008411163,0.000003304987,0.0001234242,0.9977933,0.0005579683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009014579,0.000524995,2.914356e-7,0.001959576,0.00160562,0.0004803225,0.0001544983,0.00007868652,0.9951059],"genre_scores_gemma":[0.001896407,0.001152103,0.0004885853,0.001107402,0.0005555591,0.00001687663,0.00007467496,0.00005657944,0.9946518],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6069822,"threshold_uncertainty_score":0.9997642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139371223668343,"score_gpt":0.2308603439086159,"score_spread":0.2169232215417816,"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."}}