{"id":"W7099317525","doi":"","title":"of Road Fill Landslides in the","year":2005,"lang":"en","type":"article","venue":"","topic":"Ga2O3 and related materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Corporation; Product (mathematics); Service (business); Landslide","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003924686,0.00003829715,0.00007903379,0.00002168541,0.00001557712,0.00001641385,0.0001502821,0.00003403297,0.002223805],"category_scores_gemma":[0.00001999161,0.00001842344,0.00001549577,0.00005040682,0.00002760181,0.00005828533,0.00001794672,0.00002311904,0.0002242273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003720334,"about_ca_system_score_gemma":0.000007513848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000131269,"about_ca_topic_score_gemma":0.00006320102,"domain_scores_codex":[0.9995595,0.0000457257,0.0001486663,0.00006481973,0.00008574881,0.00009551783],"domain_scores_gemma":[0.9997998,0.0000290545,0.00003118787,0.0001197392,0.00001060696,0.000009550802],"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":[0.00001010178,0.00005206678,0.0003600957,0.000009015285,0.000001221594,0.000001934603,0.0008266263,0.00010029,0.9921452,0.002926121,0.002567452,0.0009998416],"study_design_scores_gemma":[0.0002779137,0.00002980033,0.008756057,0.00001223947,0.000004230606,0.000008216139,0.0002598687,0.00003882264,0.976926,0.0004554654,0.01316896,0.00006243194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733963,0.00005691367,0.000007695614,0.0009538346,0.00009795889,0.00005773366,0.000002866908,0.00001473909,0.02541198],"genre_scores_gemma":[0.9984151,0.00001307883,0.0006411967,0.0002046736,0.00004038903,0.000003438631,8.152708e-7,0.000002223651,0.0006791072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0250188,"threshold_uncertainty_score":0.9986883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230163691773413,"score_gpt":0.2433866762022485,"score_spread":0.2310850392845144,"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."}}