{"id":"W4229485532","doi":"10.1088/1755-1315/377/1/011001","title":"Preface","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Political science; Research center; Work (physics); Engineering; Business; Computer 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":[0.00007249723,0.0001038707,0.00009215808,0.00002872199,0.00005904029,0.00005146285,0.0001542809,0.00003634245,0.0004786261],"category_scores_gemma":[0.000004797096,0.00009280285,0.00001472926,0.0001055485,0.0002105533,0.0003857941,0.00009455863,0.0001053542,0.0002000882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001216683,"about_ca_system_score_gemma":0.000006781958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003968246,"about_ca_topic_score_gemma":0.0000026385,"domain_scores_codex":[0.9992682,0.000002320034,0.00008598333,0.0001939308,0.0001697812,0.0002797503],"domain_scores_gemma":[0.9996874,0.000006817797,0.000007504987,0.0001468494,0.00000241911,0.0001490393],"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":[0.000003731111,0.000007180272,0.0001550158,0.00002191085,0.000002666575,0.000001606339,0.00007376775,0.01489179,0.9501969,0.001267576,0.000005589333,0.03337223],"study_design_scores_gemma":[0.0004976829,0.0003805844,0.0355404,0.00006134765,0.000008523581,0.00006882723,0.0006016568,0.08236695,0.7984118,0.0007750462,0.08037774,0.0009093767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933841,0.00009465103,0.0009982643,0.00004919111,0.0001487071,0.00009463753,0.000006398211,0.0001264875,0.005097525],"genre_scores_gemma":[0.9986634,0.0001726491,0.0005231068,0.00002685106,0.000009457529,0.000003934119,0.000001857986,0.000006087876,0.000592691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1517851,"threshold_uncertainty_score":0.524062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005187633667389055,"score_gpt":0.1565420686106436,"score_spread":0.1513544349432545,"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."}}