{"id":"W2600093286","doi":"10.1186/s13068-017-0769-1","title":"Robust, high-productivity phototrophic carbon capture at high pH and alkalinity using natural microbial communities","year":2017,"lang":"en","type":"article","venue":"Biotechnology for Biofuels","topic":"Algal biology and biofuel production","field":"Energy","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Phototroph; Alkalinity; Biomass (ecology); Bioenergy; Bio-energy with carbon capture and storage; Environmental science; Biofuel; Algae; Productivity; Ecology; Carbon sequestration; Biology; Botany; Carbon dioxide; Chemistry; Photosynthesis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002239749,0.0003120346,0.0001518301,0.0001630118,0.0002967395,0.0005826826,0.0001504281,0.0002314522,0.0004626607],"category_scores_gemma":[0.0002406704,0.0001104681,0.0001477793,0.0001689449,0.0001868399,0.0004177261,0.0005280199,0.0002943565,0.0002780649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636642,"about_ca_system_score_gemma":0.000314462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007463945,"about_ca_topic_score_gemma":0.001824171,"domain_scores_codex":[0.9998435,0.00001993065,0.00001280356,0.00003772353,0.00005717629,0.00002888997],"domain_scores_gemma":[0.9999094,0.00001323767,0.00001944424,0.00001015167,0.0000276061,0.00002016399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002025058,0.00001295472,0.000812447,0.00002030095,0.000003203774,0.00001212461,0.00001633382,0.00006429676,0.9975759,0.00003265279,0.00001946881,0.001410046],"study_design_scores_gemma":[0.00001709258,0.0003380191,0.03461204,0.00001561395,0.00002098055,0.0002169597,0.0001998475,0.001623808,0.9600932,0.0002118112,0.002636184,0.00001460238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948632,0.0002817423,0.003069227,0.00006621101,0.00001019691,0.00002880125,0.0003803484,0.00004650909,0.001253706],"genre_scores_gemma":[0.9942042,0.0002606078,0.004448371,0.00002492358,0.000003765145,0.00002362879,0.000420793,0.000008577701,0.000605064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007463945,"threshold_uncertainty_score":0.001547694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377377298439398,"score_gpt":0.2439632944826989,"score_spread":0.2101895214983049,"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."}}