{"id":"W7099961833","doi":"","title":"NEFTAHA TAZI INTERACTIONS DES BIOMATERIAUX BUCCO-","year":2015,"lang":"en","type":"article","venue":"","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Context (archaeology); Term (time); Perspective (graphical)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003927516,0.0004530488,0.0004508656,0.0004445649,0.001133607,0.00120334,0.000320001,0.0006654774,0.01970459],"category_scores_gemma":[0.000569793,0.0003286804,0.0003681647,0.0002850292,0.0003670954,0.000437216,0.0007965842,0.0007225244,0.002872515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000916435,"about_ca_system_score_gemma":0.0007398924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006118746,"about_ca_topic_score_gemma":0.007915465,"domain_scores_codex":[0.9995042,0.00006648994,0.00001800728,0.00008787846,0.0001877182,0.0001358119],"domain_scores_gemma":[0.999786,0.00004169945,0.00003668716,0.0000185362,0.00007236787,0.00004480688],"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":[0.0004065522,0.0001080182,0.004005864,0.0002587886,0.00004801991,0.0002951507,0.0002390796,0.0001890579,0.9631616,0.001253125,0.001391915,0.02864276],"study_design_scores_gemma":[0.00009654193,0.001085841,0.06502464,0.00009314215,0.0002641761,0.002251819,0.0007961403,0.003233577,0.8194237,0.0005172045,0.1071688,0.00004441892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628628,0.01302069,0.003595674,0.00121325,0.000402541,0.00008919345,0.0002222911,0.0001071852,0.01848636],"genre_scores_gemma":[0.9542456,0.003872823,0.002459249,0.0001934883,0.00005024747,0.00005099253,0.0003697639,0.00003019903,0.03872763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01970459,"threshold_uncertainty_score":0.06591839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216536441674111,"score_gpt":0.2733904356679646,"score_spread":0.2412250712512234,"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."}}