{"id":"W6903282926","doi":"10.1051/lhb/1911015/pdf","title":"ACADÉMIE DES SCIENCES","year":2011,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ligne; Power (physics); Gloom","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":[0.00008763754,0.0001942723,0.0002669198,0.0006100253,0.0001502462,0.000008304052,0.0006989657,0.0003572163,0.00003314402],"category_scores_gemma":[0.00004345672,0.0001885974,0.00007469344,0.0008765575,0.002376843,0.0001933575,0.0001559826,0.0003726175,0.00008395805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003296747,"about_ca_system_score_gemma":0.00002575898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003638915,"about_ca_topic_score_gemma":0.00002577939,"domain_scores_codex":[0.9989588,0.0000026207,0.0002806656,0.0002547279,0.0001108138,0.0003924239],"domain_scores_gemma":[0.9994202,0.00000448913,0.00005648256,0.0004296249,0.00005024064,0.00003892458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006714585,0.00009981656,0.01629618,0.0001669501,0.0001415902,0.00003472004,0.0002346998,0.000760191,0.1035501,0.7202924,0.0001394537,0.1582771],"study_design_scores_gemma":[0.0004674617,0.0003352209,0.009272239,0.0001486209,0.00004558906,0.00003990269,0.000120319,0.001812899,0.7686746,0.1832841,0.03516341,0.0006357143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490036,0.0004847484,0.001469951,0.0001357817,0.0006224306,0.0001193927,0.000003204995,0.00149319,0.04666768],"genre_scores_gemma":[0.9500142,0.0001768108,0.04967172,0.00001230426,0.00004369761,0.0000142176,6.231836e-7,0.00002225605,0.00004414743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6651244,"threshold_uncertainty_score":0.8757576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141143687665705,"score_gpt":0.226860253601597,"score_spread":0.19544881672494,"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."}}