{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001849439,0.00111748,0.0008777615,0.002451996,0.003443256,0.005184654,0.001888357,0.002027852,0.5629902],"category_scores_gemma":[0.01058896,0.000374129,0.0007335526,0.002116826,0.0008633943,0.004137723,0.003008915,0.00341376,0.40647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002280466,"about_ca_system_score_gemma":0.003782118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003646141,"about_ca_topic_score_gemma":0.004184417,"domain_scores_codex":[0.9984208,0.0002248753,0.0001179738,0.0003221156,0.0007491134,0.0001651309],"domain_scores_gemma":[0.9951976,0.000670041,0.0001814413,0.0004755765,0.002708469,0.0007669135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003119904,0.0000193795,0.0001230944,0.0001216653,0.00000250779,0.00005679582,0.0001331784,0.00004529864,0.0001138328,0.005219963,0.9549814,0.03915172],"study_design_scores_gemma":[0.000003088542,0.00001153006,0.0001711031,0.00008914465,0.000001246466,0.00005802003,0.0001103052,0.00001926568,0.0000518452,0.001296114,0.9981844,0.000003921078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001814715,0.009223798,0.005844814,0.03020772,0.1079297,0.0007535431,0.01461778,0.00235966,0.8272483],"genre_scores_gemma":[0.007720478,0.005677978,0.003379688,0.008406542,0.01353467,0.000435518,0.01437973,0.001114359,0.9453511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4370098,"threshold_uncertainty_score":0,"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."}}