{"id":"W2936524309","doi":"10.24247/ijietjun20195","title":"Bioremedial Approch to Degrade Physico-Chemical Characteristics by Indigenous Microbes in Paper and Pulp Industry","year":2019,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering & Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Indigenous; Pulp (tooth); Pulp and paper industry; Biochemical engineering; Business; Biotechnology; Engineering; Biology; Dentistry; Medicine; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005105421,0.0004770124,0.0002246806,0.0004143029,0.0004317167,0.0004379867,0.0003241728,0.0003964599,0.001622015],"category_scores_gemma":[0.000290924,0.0001854189,0.0003347474,0.0001836859,0.0002804047,0.0002071806,0.00054691,0.0004431304,0.0006556476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794869,"about_ca_system_score_gemma":0.0004194723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00059115,"about_ca_topic_score_gemma":0.001777563,"domain_scores_codex":[0.9995742,0.0000828412,0.00003742844,0.00007459716,0.0001792046,0.00005169053],"domain_scores_gemma":[0.9998853,0.00001254067,0.00001857135,0.0000182291,0.00005035598,0.00001504275],"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":[0.00007854073,0.0001403715,0.0002033868,0.0001059389,0.000005528853,0.00004716219,0.00003696207,0.00005523333,0.99239,0.0001281099,0.0001326486,0.006676026],"study_design_scores_gemma":[0.0000130627,0.0005958233,0.001428674,0.00002317541,0.00001863372,0.0001367111,0.00003258879,0.000240707,0.9922159,0.00003975646,0.005248886,0.000006161556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600841,0.004722948,0.02498032,0.0002890679,0.0002929748,0.0007776179,0.0004549159,0.0002780223,0.008120022],"genre_scores_gemma":[0.9221724,0.004435785,0.03967729,0.0002434053,0.00009248964,0.001085486,0.001484968,0.00005669182,0.03075165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001622015,"threshold_uncertainty_score":0.005426228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006321872782494145,"score_gpt":0.1974544518332799,"score_spread":0.1911325790507858,"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."}}