{"id":"W2745068316","doi":"10.1007/s11356-017-9864-x","title":"Environmental building policy by the use of microalgae and decreasing of risks for Canadian oil sand sector development","year":2017,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Biomass (ecology); Environmental science; Tailings; Biofuel; Reuse; Sustainability; Fossil fuel; Waste management; Environmentally friendly; Environmental protection; Natural resource economics; Environmental engineering; Engineering; Ecology","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001841598,0.00009596108,0.0001157235,0.000194944,0.002620564,0.000155374,0.0003986495,0.00006600468,0.00004649891],"category_scores_gemma":[0.0005215257,0.00007473573,0.00002431998,0.0001296859,0.004366997,0.0003293234,0.0003595121,0.0001381044,0.000001403365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006750397,"about_ca_system_score_gemma":0.000470728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2127772,"about_ca_topic_score_gemma":0.006583559,"domain_scores_codex":[0.9981377,0.0001118527,0.0001802644,0.0003023959,0.0006686807,0.0005991622],"domain_scores_gemma":[0.9991665,0.0001126427,0.00006429539,0.0003176635,0.00002280744,0.0003160324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001472814,0.0001128767,0.05443151,0.00005546316,0.00002784071,0.000002134664,0.001349617,0.0001328658,0.485288,0.005312584,0.0001463221,0.4529935],"study_design_scores_gemma":[0.0008578552,0.000182712,0.6922091,0.00004218426,0.000007482256,0.00001596919,0.001966838,0.001019732,0.2178125,0.00115875,0.08449314,0.0002338181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980159,0.000293261,0.00001047817,0.000965099,0.00001648494,0.0001651939,0.00009485564,0.000001881052,0.0004368653],"genre_scores_gemma":[0.9987199,0.0002658933,0.0004138213,0.00003722895,0.00001846395,0.00001945253,0.000005166681,0.00000667356,0.0005134042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6377775,"threshold_uncertainty_score":0.9986779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08521378957783977,"score_gpt":0.3531743715075956,"score_spread":0.2679605819297558,"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."}}