{"id":"W2883108897","doi":"10.21511/im.14(2).2018.01","title":"Biogas as an alternative energy resource for Ukrainian companies: EU experience","year":2018,"lang":"en","type":"article","venue":"Innovative Marketing","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Ministry of Education and Science of Ukraine","keywords":"Biogas; Renewable energy; Tariff; Profit (economics); Business; Agricultural science; Agriculture; Agricultural economics; Electricity; Market penetration; Environmental economics; Waste management; Economics; Environmental science; Engineering; Marketing; International trade; Geography","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":[0.001297731,0.0001494705,0.0001334647,0.0003615271,0.0006123243,0.001912644,0.0002731906,0.0004272431,0.0008909017],"category_scores_gemma":[0.0007619035,0.00007585454,0.0001879472,0.0005388324,0.0005201612,0.001265737,0.001067784,0.0004305883,0.0001179045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945705,"about_ca_system_score_gemma":0.001367448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006428346,"about_ca_topic_score_gemma":0.005998962,"domain_scores_codex":[0.9995659,0.0001360767,0.00002742409,0.00005063138,0.000111041,0.0001088725],"domain_scores_gemma":[0.9996025,0.0001435013,0.0000722679,0.00003034179,0.00009455527,0.00005688831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001311357,0.001485578,0.2429971,0.001973512,0.0002605273,0.03189903,0.04564713,0.02862785,0.02908905,0.2049033,0.009979084,0.4018266],"study_design_scores_gemma":[0.0000577411,0.0016286,0.3105622,0.0009575217,0.0001348337,0.006150499,0.1222867,0.01383466,0.05443437,0.008362935,0.4814587,0.0001311463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977625,0.002036269,0.00057205,0.0006005155,0.00001377008,0.000008610597,0.00005121516,0.000007487846,0.01908513],"genre_scores_gemma":[0.995962,0.001301107,0.0003147977,0.00008267127,0.000003532493,0.000001862876,0.00004626823,0.000004505984,0.00228329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006428346,"threshold_uncertainty_score":0.01411712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529622041252441,"score_gpt":0.2720838381452598,"score_spread":0.2467876177327354,"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."}}