{"id":"W7099602386","doi":"","title":"ENVIRONMENTAL BENEFITS OF WARM MIX ASPHALT TECHNOLOGIES: EXPERIENCE OF THE CITY OF CALGARY","year":2016,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Asphalt pavement; Environmentally friendly; Road construction; Subdivision; Greenhouse gas","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":[],"consensus_categories":[],"category_scores_codex":[0.0004732222,0.0003613893,0.0003586722,0.0004637336,0.003847362,0.001401879,0.0008163071,0.0008028632,0.002308222],"category_scores_gemma":[0.0005564796,0.0002461197,0.0002066874,0.001484203,0.00168667,0.000545201,0.002449777,0.0007863996,0.0004373344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004978189,"about_ca_system_score_gemma":0.003651362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3334597,"about_ca_topic_score_gemma":0.7478979,"domain_scores_codex":[0.9994494,0.0001369776,0.00001116862,0.00006318711,0.00012086,0.0002183706],"domain_scores_gemma":[0.9996591,0.00006819936,0.00003214712,0.00002032955,0.00009173017,0.0001284834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002195046,0.003593829,0.3883634,0.00125572,0.0002883145,0.02387024,0.1923307,0.01152713,0.03235046,0.00245505,0.01240012,0.3293701],"study_design_scores_gemma":[0.00011502,0.002386888,0.608634,0.0001607061,0.0001758593,0.001245875,0.3289702,0.001390524,0.006701457,0.0006748489,0.0494139,0.0001307851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950941,0.0001872632,0.000108056,0.0002741862,0.00000662463,0.00002541501,0.0001301938,0.000007981097,0.004166255],"genre_scores_gemma":[0.9909945,0.0006788622,0.0003845358,0.0001905332,0.000008486578,0.00001711161,0.0001725138,0.00001710681,0.007536306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6665403,"threshold_uncertainty_score":0.6630374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373936554000899,"score_gpt":0.1981651039093212,"score_spread":0.1844257383693123,"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."}}