{"id":"W2913745432","doi":"","title":"Sr5CuGe9O24 : trois coordinances différentes pour le Ge","year":2018,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Crystal Structures and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optina Diagnostics (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004379911,0.0005710598,0.0009018471,0.0006249368,0.001116395,0.001247985,0.001015992,0.0008551401,0.01272981],"category_scores_gemma":[0.0007022665,0.0003313292,0.0002978113,0.000612472,0.0006885185,0.0007112476,0.001092162,0.0005427814,0.001670268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004773283,"about_ca_system_score_gemma":0.0003098693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938664,"about_ca_topic_score_gemma":0.003176174,"domain_scores_codex":[0.9996628,0.00007011283,0.00001396835,0.00008040255,0.00009752889,0.00007528368],"domain_scores_gemma":[0.9998384,0.0000347702,0.00002349553,0.00004893223,0.00002956018,0.00002487712],"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":[0.007838257,0.0002474851,0.002850392,0.002872522,0.0003100939,0.001024939,0.001743981,0.01191793,0.7966439,0.1048435,0.02285512,0.0468519],"study_design_scores_gemma":[0.001765259,0.001848748,0.009023909,0.0002615621,0.0003068297,0.0008657097,0.002596012,0.02313733,0.7170788,0.02458785,0.2182964,0.0002315255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585178,0.001120025,0.004582024,0.000935667,0.0003409875,0.00003662012,0.0007347857,0.000765249,0.03296686],"genre_scores_gemma":[0.9859893,0.0004188068,0.004301068,0.000135188,0.00005214969,0.00008102517,0.0006346969,0.0005691858,0.007818475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272981,"threshold_uncertainty_score":0.04258537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575215651610304,"score_gpt":0.2238336840018642,"score_spread":0.2080815274857611,"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."}}