{"id":"W4236951425","doi":"10.1088/1757-899x/652/1/011001","title":"Preface","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Political science; Engineering; Library science; Law; 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":[0.0001572272,0.0001125739,0.0001181506,0.00009075779,0.00005330401,0.000258356,0.0001273697,0.00004025814,0.0002911027],"category_scores_gemma":[0.00001698993,0.0001051839,0.000007727641,0.0001892113,0.00009495774,0.0008407729,0.00003066042,0.00005223271,0.00006688706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002982892,"about_ca_system_score_gemma":0.00003790381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000591816,"about_ca_topic_score_gemma":0.000001530237,"domain_scores_codex":[0.9993374,0.000002645406,0.0001281462,0.0001554142,0.000158501,0.0002179168],"domain_scores_gemma":[0.9997032,0.000005452297,0.00001282647,0.0001321901,0.00008411887,0.00006216703],"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":[0.000002117427,7.359661e-7,0.00003039536,0.00004839026,0.000002292221,3.026607e-7,0.0001231339,0.001055736,0.9793547,0.01733154,0.0000147218,0.002035974],"study_design_scores_gemma":[0.00009078623,0.00003047019,0.002872931,0.00005072559,0.000003113008,0.00003650802,0.0001970593,0.008315858,0.9830856,0.0001617793,0.004935761,0.0002194441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934784,0.00004764859,0.0005848539,0.00003796394,0.001506329,0.000091924,0.000005213235,0.0002724692,0.003975165],"genre_scores_gemma":[0.9990858,0.00006763673,0.0006150889,0.00001013756,0.00004328572,0.00001158786,0.000001437967,0.000009921014,0.0001551039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01716976,"threshold_uncertainty_score":0.4289275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007874062229303962,"score_gpt":0.1846849494501026,"score_spread":0.1768108872207986,"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."}}