{"id":"W3041618478","doi":"10.1021/acssuschemeng.0c03903","title":"Synthesis and Characterization of Bio-pitch from Bio-oil","year":2020,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval; Alcoa","keywords":"Coal tar; Characterization (materials science); Softening point; Carbon fibers; Pyrolysis; Environmentally friendly; Anode; Materials science; Chemical engineering; Elemental analysis; Fraction (chemistry); Chemistry; tar (computing); Coal; Organic chemistry; Nanotechnology; Composite material; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003463055,0.0002487675,0.0002773787,0.00004269468,0.00003211119,0.00004828412,0.0001871318,0.0001315239,0.00006956476],"category_scores_gemma":[0.00009389567,0.0003019135,0.00004390574,0.0002877811,0.00002385687,0.0002269737,0.00009791354,0.0001582199,0.000004222733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006343717,"about_ca_system_score_gemma":0.00001881251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002092214,"about_ca_topic_score_gemma":2.647923e-8,"domain_scores_codex":[0.9990318,0.000003372112,0.0002721742,0.0002133675,0.00012376,0.0003554916],"domain_scores_gemma":[0.9994464,0.00008303858,0.00004373906,0.0002211983,0.00005441734,0.0001511942],"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":[0.000005721723,0.000003664823,0.000140754,0.001418498,0.00006661803,0.00001497391,0.0003852045,0.01102445,0.9862413,0.00004103599,0.00002372643,0.0006340611],"study_design_scores_gemma":[0.0001298202,0.000005495172,0.0002457408,0.00006519902,0.00003667627,0.000003045235,0.0001637466,0.04462688,0.9507814,0.000003271607,0.003667752,0.0002709894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958308,0.0007177453,0.002065202,0.0001497944,0.00004017187,0.00005390107,0.0000345582,0.0004352097,0.0006725817],"genre_scores_gemma":[0.9989234,0.0001231399,0.0003862879,0.00001736592,0.0001407287,0.00002462226,0.00007121441,0.00006937608,0.00024392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03545991,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003305568191735021,"score_gpt":0.152728500234924,"score_spread":0.149422932043189,"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."}}