{"id":"W7055604862","doi":"","title":"Construction trades training facility for the eastern Canadian Arctic","year":2005,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Arctic; The arctic; Work (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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001771556,0.0005113045,0.0006186212,0.0009377393,0.0002102936,0.00004329441,0.0007201005,0.001482265,0.00007249136],"category_scores_gemma":[0.0003065255,0.0004837068,0.0002250185,0.0004426944,0.0003901857,0.0001504202,0.00001774282,0.0009796773,0.00001004246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000313983,"about_ca_system_score_gemma":0.000310103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004534688,"about_ca_topic_score_gemma":0.246337,"domain_scores_codex":[0.9981113,0.00001319152,0.000594772,0.0004353585,0.000239213,0.0006061396],"domain_scores_gemma":[0.9986274,0.00006713314,0.0001981468,0.0008060462,0.0001879237,0.0001133832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006299433,0.00004255163,0.001657825,0.002004817,0.0008655648,0.0000211354,0.003378289,0.001266463,0.003104639,0.01102543,0.00466621,0.9719041],"study_design_scores_gemma":[0.001062258,0.000272131,0.002139912,0.000917309,0.0007300301,0.00009419335,0.005897732,0.007623143,0.0282145,0.003431764,0.9478688,0.001748275],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8851012,0.01111324,0.01276042,0.01470896,0.01259795,0.008685504,0.002696939,0.007136352,0.04519941],"genre_scores_gemma":[0.9760908,0.0003781688,0.02121482,0.00003771322,0.0001469586,0.0003890143,0.0003245819,0.0000736689,0.001344219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9701558,"threshold_uncertainty_score":0.999814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770956096622959,"score_gpt":0.2359897261531093,"score_spread":0.2182801651868797,"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."}}