{"id":"W4323304380","doi":"10.18280/ijdne.180106","title":"A Model Study of Growth of Publications on the Field of Biofuels","year":2023,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Metallurgy and Material Science","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Junta de Extremadura; Consejo Nacional de Ciencia y Tecnología; European Commission","keywords":"Biohydrogen; Biofuel; Biodiesel; Renewable energy; Biogas; Environmental science; Pulp and paper industry; Agricultural economics; Biotechnology; Waste management; Engineering; Economics; Chemistry; Biology; Hydrogen production","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002383999,0.001098139,0.0006619851,0.003612732,0.0004594677,0.002921296,0.001533087,0.001511462,0.008066767],"category_scores_gemma":[0.009679038,0.0005075587,0.001362061,0.004343898,0.0005634067,0.003778295,0.0008690142,0.001092616,0.003070968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002349922,"about_ca_system_score_gemma":0.001771359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006964,"about_ca_topic_score_gemma":0.009127725,"domain_scores_codex":[0.9990718,0.0002720359,0.00006410036,0.0002370767,0.0001426719,0.0002122798],"domain_scores_gemma":[0.9922735,0.004874229,0.00116588,0.0002840768,0.001111701,0.0002906862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007168012,0.000372078,0.08952817,0.000553534,0.0002911955,0.0008507281,0.001057858,0.8131634,0.004288618,0.05274964,0.008180683,0.0282473],"study_design_scores_gemma":[0.00005923218,0.0001700892,0.01357043,0.00005863843,0.00007118301,0.0002829501,0.0004531782,0.9653077,0.001242689,0.01158818,0.007139388,0.00005630772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.876406,0.001698316,0.05378444,0.004423962,0.0001550588,0.0003425715,0.01426402,0.001071299,0.0478544],"genre_scores_gemma":[0.95966,0.001206337,0.006494805,0.000115805,0.00003762363,0.0003831942,0.004451178,0.0001524288,0.02749861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9963872,"threshold_uncertainty_score":0.03990567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253444482646865,"score_gpt":0.3064887143661989,"score_spread":0.2739542695397302,"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."}}