{"id":"W7096464500","doi":"","title":"DEPARTEMENT DE GENIE CIVIL FACULTÉ DES SCIENCES ET GÉNIE","year":2015,"lang":"en","type":"article","venue":"","topic":"Phytochemicals and Medicinal Plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Subject (documents); Civil servants; Government (linguistics)","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":[0.000453972,0.00007553519,0.0001363886,0.00003194345,0.00004805441,0.00001102485,0.00006633751,0.00003339618,0.000157469],"category_scores_gemma":[0.0001353574,0.00004860512,0.00002870284,0.00009774115,0.0002298003,0.00005874019,0.00002903741,0.00006955122,0.00007237979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007628113,"about_ca_system_score_gemma":0.0002930313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009899396,"about_ca_topic_score_gemma":0.00007137685,"domain_scores_codex":[0.9991727,0.0000141216,0.0001143754,0.0001438124,0.0003028405,0.0002521822],"domain_scores_gemma":[0.9994559,0.00002691089,0.00002106206,0.00008508994,0.00005342609,0.0003575715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003504854,0.0008532315,0.2113888,0.0002049916,0.0001402326,0.0003420943,0.004089226,0.00002481005,0.3516841,0.002505288,0.4179719,0.01044485],"study_design_scores_gemma":[0.01100128,0.004548273,0.1036317,0.0009482999,0.0004075316,0.00197513,0.009721355,0.002439267,0.7195441,0.03097688,0.1139309,0.000875379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8102769,0.0003217761,0.0006074101,0.0009776833,0.00004193586,0.0001048923,0.000002254968,0.0000457815,0.1876214],"genre_scores_gemma":[0.9911053,0.00004483738,0.004300584,0.003100527,0.00009213469,0.000008876254,0.000007501646,0.000004819722,0.00133539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.36786,"threshold_uncertainty_score":0.1982059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2555382095562463,"score_gpt":0.4269879912042223,"score_spread":0.171449781647976,"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."}}