{"id":"W3196004072","doi":"10.1002/bbb.2280","title":"Market prospects for biochar production and application in California","year":2021,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biochar; Production (economics); Business; Carbon sequestration; Revenue; Natural resource economics; Agriculture; Agricultural economics; Biomass (ecology); Agricultural science; Environmental science; Economics; Waste management; Pyrolysis; Engineering; Agronomy; Finance","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":[0.001111834,0.0001196857,0.0001096308,0.000896765,0.001020966,0.001939325,0.0005991848,0.0004930132,0.008687755],"category_scores_gemma":[0.001755555,0.0001236499,0.0001844519,0.0009467599,0.0003606545,0.0009340477,0.0003897155,0.0005682492,0.0002619812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003377107,"about_ca_system_score_gemma":0.002445393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1139692,"about_ca_topic_score_gemma":0.2695718,"domain_scores_codex":[0.9995387,0.00003334845,0.00001503357,0.0000933128,0.000226619,0.00009301745],"domain_scores_gemma":[0.9961389,0.0009249576,0.0008158539,0.00006969878,0.001536185,0.0005144799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008630031,0.0007010709,0.7874362,0.001016036,0.00009983873,0.001251865,0.004649098,0.003326596,0.01675643,0.01544743,0.04348263,0.1249699],"study_design_scores_gemma":[0.00003843541,0.0003607563,0.885614,0.0001794007,0.00005011521,0.0001362757,0.01271573,0.00380669,0.002583328,0.0009577288,0.09349142,0.00006629348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594252,0.001309296,0.0004353007,0.002200427,0.00003838609,0.0000543124,0.001372337,0.00004985811,0.03511489],"genre_scores_gemma":[0.9892724,0.0006923547,0.0006879236,0.0001644937,0.00002406654,0.00002374602,0.0007776602,0.000007478518,0.008349971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1139692,"threshold_uncertainty_score":0.2266116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323263092797289,"score_gpt":0.2147784172534072,"score_spread":0.2015457863254343,"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."}}