{"id":"W7051953765","doi":"","title":"Optimization of agricultural waste derived biochar through physical activation methods for use as reinforcement fillers in rubber composites","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Biochar; Natural rubber; Reinforcement; Agricultural waste; Filler (materials); Agriculture","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":[0.0002466297,0.0003930827,0.0003088464,0.000285992,0.0002475806,0.0005500491,0.0002372244,0.0002584281,0.002056286],"category_scores_gemma":[0.000272878,0.0002455548,0.0004527783,0.0002845955,0.0001715383,0.0003665078,0.0002233791,0.000548845,0.0007975009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002264296,"about_ca_system_score_gemma":0.0002864747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007387921,"about_ca_topic_score_gemma":0.003644399,"domain_scores_codex":[0.9998302,0.00002047916,0.00001286297,0.00003729741,0.00005135153,0.00004766378],"domain_scores_gemma":[0.9998993,0.00003694793,0.00002390655,0.000006742772,0.00002165263,0.00001134055],"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":[0.0001106315,0.00008649655,0.0001261582,0.0001143012,0.000008681898,0.00003952532,0.00003493157,0.0007310069,0.9925207,0.00006666957,0.000052657,0.006108249],"study_design_scores_gemma":[0.000004822687,0.0001874155,0.000765563,0.000005986616,0.00001258812,0.00002501389,0.00003218841,0.0005691872,0.9974889,0.00001700857,0.000885914,0.000005413725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887801,0.001680843,0.004945701,0.00007282926,0.00003605041,0.00006893731,0.0002192023,0.00009831345,0.004097973],"genre_scores_gemma":[0.9857216,0.001911954,0.006504816,0.00003156618,0.000009146926,0.00004990189,0.0002345957,0.00008623251,0.005450232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002056286,"threshold_uncertainty_score":0.006879032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918344759761845,"score_gpt":0.3207753900539427,"score_spread":0.2915919424563243,"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."}}