{"id":"W1651067075","doi":"10.1063/1.3160239","title":"Preparation of Carbon Nanotubes by Seeded Catalyst Method with Palm Oil as Starting Material","year":2009,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sciencetech (Canada)","funders":"","keywords":"Catalysis; Carbon nanotube; Fourier transform infrared spectroscopy; Materials science; Absorbance; Chemical engineering; Carbon nanotube supported catalyst; Catalyst support; Carbon fibers; Cobalt; Nickel; Zeolite; Nanotechnology; Composite material; Chemistry; Organic chemistry; Metallurgy; Composite number; Chromatography; Carbon nanofiber","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001463778,0.0005660914,0.0004051022,0.0005990249,0.0002554418,0.0002331225,0.000436189,0.0004520042,0.001227044],"category_scores_gemma":[0.0002770215,0.0003246657,0.0003557461,0.0004797806,0.0001271817,0.0002607996,0.0002511092,0.000519701,0.001029343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023275,"about_ca_system_score_gemma":0.0002069392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006559732,"about_ca_topic_score_gemma":0.002469535,"domain_scores_codex":[0.9997959,0.00001211602,0.00001988184,0.00005338334,0.00009684513,0.00002191021],"domain_scores_gemma":[0.9998374,0.00002398026,0.00002608585,0.00002778052,0.00005520783,0.00002953682],"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":[0.00001875058,0.00001160177,0.00006619549,0.00005042236,0.000004723252,0.0000643457,0.00001179353,0.00009821163,0.9970861,0.0001189634,0.00004500368,0.002423813],"study_design_scores_gemma":[0.000006702011,0.000052228,0.0002898774,0.000004476042,0.000007694019,0.00008311871,0.000004927273,0.0006242274,0.9965414,0.00003541001,0.002345055,0.000004799729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8269954,0.002967652,0.1544714,0.0001486425,0.0004197886,0.001015749,0.002610406,0.001232038,0.01013894],"genre_scores_gemma":[0.8182114,0.002600368,0.1609455,0.00006689352,0.00004265174,0.0006205771,0.002753389,0.0002634074,0.01449589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001227044,"threshold_uncertainty_score":0.004104912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214241338777306,"score_gpt":0.2827717805091206,"score_spread":0.2706293671213476,"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."}}