{"id":"W2788211908","doi":"10.1016/j.indcrop.2018.01.033","title":"Efficient hydro-liquefaction of woody biomass over ionic liquid nickel based catalyst","year":2018,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Ionic liquid; Catalysis; Sawdust; Chemistry; Liquefaction; Nickel; Chloride; Bromide; Yield (engineering); Inorganic chemistry; Chemical engineering; Organic chemistry; Materials science; Metallurgy","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":[0.0001518459,0.0001431234,0.0001647296,0.00005705672,0.00005753326,0.00002321448,0.00008302171,0.0001873051,0.00003314699],"category_scores_gemma":[0.00004993794,0.0001310243,0.00003059852,0.0002605644,0.000107617,0.00003472823,0.00002604115,0.0001588108,0.00001233944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003955016,"about_ca_system_score_gemma":0.00006847263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007430849,"about_ca_topic_score_gemma":0.000003498828,"domain_scores_codex":[0.9992034,0.00001579046,0.0002185285,0.0002249884,0.0001423375,0.0001949571],"domain_scores_gemma":[0.9995193,0.00001972424,0.00005319932,0.0002647052,0.00007174955,0.00007124509],"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":[0.0001127937,0.0000636345,0.0001990989,0.0001420533,0.00004841457,0.000002880608,0.0001445777,0.0003242148,0.9864282,0.00001421108,0.01175154,0.0007683943],"study_design_scores_gemma":[0.0007391064,0.0001674395,0.00009129747,0.00005580118,0.00002242775,0.000003976844,0.00001400009,0.001096094,0.9908309,0.000003959726,0.006817052,0.000157974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973423,0.0002000398,0.000007206305,0.0001427364,0.0007754032,0.000168639,0.000024935,0.00008747611,0.001251277],"genre_scores_gemma":[0.9985372,0.000004286234,0.00002727126,0.00001189343,0.001244038,0.000007172198,0.00002161447,0.00002071762,0.0001258043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004934484,"threshold_uncertainty_score":0.5343016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923148831105514,"score_gpt":0.2235975554789499,"score_spread":0.2043660671678948,"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."}}