{"id":"W561806643","doi":"","title":"Cement and Concrete Industries Contribution to Climate Change Mitigation","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cement; Climate change; Truck; Sustainability; Global warming; Environmental science; Civil engineering; Engineering; Business","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":[0.0003652131,0.0003623954,0.0001586321,0.0007553797,0.001129893,0.00117311,0.0002620259,0.0006053736,0.006395371],"category_scores_gemma":[0.000588609,0.00009671746,0.0002956962,0.0009534668,0.0003613642,0.0002846501,0.0007062057,0.0006507871,0.0007142121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005140465,"about_ca_system_score_gemma":0.01481035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4767105,"about_ca_topic_score_gemma":0.7602867,"domain_scores_codex":[0.999377,0.00005159784,0.000006688616,0.00003032248,0.0003150455,0.0002194972],"domain_scores_gemma":[0.9994553,0.00004688093,0.00002595173,0.00001364598,0.0003460627,0.0001120745],"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":[0.0002946668,0.0001982367,0.04293648,0.001487195,0.0002258569,0.0007468488,0.001196877,0.01795718,0.04357368,0.1016128,0.07524541,0.7145247],"study_design_scores_gemma":[0.00001428716,0.0000823201,0.05379968,0.0001864993,0.0001410539,0.0002407494,0.001056351,0.003730465,0.0174275,0.006910563,0.9163736,0.00003695262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2118749,0.08141213,0.0136774,0.05207638,0.00146634,0.000145014,0.001950638,0.0007560825,0.6366411],"genre_scores_gemma":[0.8653911,0.04175317,0.007805669,0.001346711,0.0003212433,0.0000192984,0.00054776,0.00007900655,0.08273599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5232895,"threshold_uncertainty_score":0.9478714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521313375459394,"score_gpt":0.220898498444551,"score_spread":0.2056853646899571,"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."}}