{"id":"W7098899246","doi":"","title":"DÉPARTEMENT DE GÉOLOGIE ET DE GÉNIE GÉOLOGIQUE FACULTÉ DES SCIENCES ET DE GÉNIE","year":2015,"lang":"en","type":"article","venue":"","topic":"Bioactive Natural Diterpenoids Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Human science; Natural science","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":[0.002420009,0.0001874212,0.0001452401,0.00006466404,0.0001385747,0.0001024033,0.0005413517,0.0003280663,0.00007450741],"category_scores_gemma":[0.001094517,0.0001428958,0.00007910821,0.0001644118,0.0008568809,0.00001605786,0.0003870834,0.0002911246,0.0000353683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693598,"about_ca_system_score_gemma":0.001528405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004066919,"about_ca_topic_score_gemma":0.0004069349,"domain_scores_codex":[0.9978139,0.0005674438,0.0001663245,0.0004502558,0.0002626702,0.0007394052],"domain_scores_gemma":[0.9991785,0.00006900678,0.00005047172,0.0002418152,0.0001825082,0.0002777219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001212777,0.0001520327,0.03993124,0.00001850323,0.00006258486,0.0000206347,0.0002450359,0.0001850449,0.9210402,0.002925541,0.03306779,0.002230123],"study_design_scores_gemma":[0.0006701333,0.001516912,0.03543613,0.00001428976,0.00001153874,0.00006546192,0.0007821551,0.0002359623,0.9340934,0.007033603,0.01980469,0.000335751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348501,0.0005999064,0.009072061,0.002024804,0.00005496372,0.0002302649,0.00002201928,0.00004709118,0.05309882],"genre_scores_gemma":[0.9724538,0.0004263631,0.02228153,0.00288175,0.00009985251,0.00004970895,0.00004302194,0.00001530692,0.001748629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05135019,"threshold_uncertainty_score":0.5827123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1588992594423551,"score_gpt":0.4572824302443387,"score_spread":0.2983831708019836,"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."}}