{"id":"W600591597","doi":"","title":"McLean Group's Blackcomb Av serves real estate, movie and TV activities","year":2011,"lang":"en","type":"article","venue":"Professional pilot","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Group (periodic table); Advertising; Aeronautics; Business; Engineering; Telecommunications; Computer science; Finance; Physics","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":[0.00009319314,0.0001141749,0.0001048765,0.00006693204,0.00009512495,0.00001002447,0.00006640416,0.00004149867,0.0003464825],"category_scores_gemma":[0.000004875789,0.0001044805,0.00001919056,0.0001075141,0.00006592856,0.0002411978,0.00001361385,0.0001582399,0.00001642594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001504383,"about_ca_system_score_gemma":0.00001742284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001118117,"about_ca_topic_score_gemma":0.0004132222,"domain_scores_codex":[0.9994044,0.00001739655,0.0001840847,0.0001252371,0.0001106236,0.000158305],"domain_scores_gemma":[0.9997315,0.00004099694,0.00002272756,0.0001123007,0.00002932581,0.00006308106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001018933,0.003674477,0.3861574,0.002750567,0.0007007273,0.00007326611,0.06143997,0.0007547637,0.1215258,0.264449,0.02320886,0.1342462],"study_design_scores_gemma":[0.000579345,0.0001367871,0.988946,0.00006469959,0.00001805034,0.000003241368,0.001749486,0.0004474737,0.002400707,0.002496908,0.002879623,0.000277718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773456,0.00001880859,0.0002452722,0.0000737572,0.0003848409,0.0001597674,0.00003402041,0.0003104813,0.02142745],"genre_scores_gemma":[0.9978763,0.000143381,0.001102261,0.00007090895,0.00003562298,0.00004595545,0.00006070741,0.00002259684,0.0006422997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6027886,"threshold_uncertainty_score":0.4260591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826671345797066,"score_gpt":0.2493600366534402,"score_spread":0.2110933231954696,"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."}}