{"id":"W4232961791","doi":"10.1504/ijgw.2019.101778","title":"Bioremediation of minkery wastewater and astaxanthin production by <i>Haematococcus pluvialis</i>","year":2019,"lang":"en","type":"article","venue":"International Journal of Global Warming","topic":"Algal biology and biofuel production","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Haematococcus pluvialis; Pluvialis; Astaxanthin; Wastewater; Chemistry; Biomass (ecology); Pulp and paper industry; Nitrogen; Food science; Botany; Environmental engineering; Biology; Environmental science; Agronomy; Organic chemistry; Carotenoid","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005406272,0.0001513853,0.0002497032,0.0001137135,0.00004378623,0.00003035942,0.000239449,0.0001453068,0.00009697183],"category_scores_gemma":[0.0002420881,0.0001227402,0.00009922914,0.0001199005,0.0001082236,0.0005000643,0.00007068426,0.0001377498,0.00003022373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001780819,"about_ca_system_score_gemma":0.00006008897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003370543,"about_ca_topic_score_gemma":0.00002856795,"domain_scores_codex":[0.9984076,0.00009295264,0.0006331897,0.0002255643,0.0004741663,0.0001665081],"domain_scores_gemma":[0.9985037,0.00003613694,0.0007216048,0.0001129577,0.0005616747,0.00006385202],"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":[0.0006232932,0.0001368534,0.01405265,0.00004001451,0.0003055783,0.00001764856,0.0003125986,0.0003305411,0.965194,0.003543591,0.003603188,0.01183998],"study_design_scores_gemma":[0.004362371,0.001193745,0.03358243,0.0007760865,0.0002570717,0.002783533,0.0005439816,0.0006343535,0.770444,0.01282545,0.1716879,0.0009090351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921656,0.0007534481,0.00009277149,0.001813836,0.004235042,0.0001322874,0.00003081626,0.0000153547,0.0007608681],"genre_scores_gemma":[0.9979674,0.0001633005,0.0005429572,0.00006425944,0.0009109803,0.00000189952,0.00003161374,0.000009095134,0.0003085497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.19475,"threshold_uncertainty_score":0.5005199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007319829310929024,"score_gpt":0.2400518209753963,"score_spread":0.2327319916644673,"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."}}