{"id":"W4378902706","doi":"10.18331/brj2023.10.2.4","title":"Machine learning in biohydrogen production: a review","year":2023,"lang":"en","type":"review","venue":"Biofuel Research Journal","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biohydrogen; Machine learning; Artificial intelligence; Computer science; Production (economics); Biochemical engineering; Engineering; Hydrogen production; Chemistry; Hydrogen","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009994655,0.001008116,0.001478779,0.002631016,0.0003219935,0.001195751,0.0009553087,0.001366161,0.003816685],"category_scores_gemma":[0.002043753,0.0004120185,0.0008907659,0.003658324,0.0004419037,0.001734173,0.0006416803,0.001590251,0.001858264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005768762,"about_ca_system_score_gemma":0.001673665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456861,"about_ca_topic_score_gemma":0.001725752,"domain_scores_codex":[0.9997082,0.00005722223,0.00005145089,0.00005647236,0.0001017907,0.00002480514],"domain_scores_gemma":[0.9988117,0.0007480318,0.0001238926,0.00002728693,0.0002404446,0.00004858863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005659901,0.00008352054,0.0003114024,0.03901046,0.0001790027,0.0001561554,0.00007308582,0.001104271,0.0008881825,0.005108017,0.0290733,0.9239559],"study_design_scores_gemma":[0.00001557616,0.0001623077,0.0009661035,0.0128498,0.0003275494,0.0007653788,0.00006633539,0.0004324514,0.0005605668,0.003241393,0.980572,0.0000405473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001031302,0.998732,0.0002167359,0.0002241372,0.0001713286,0.000003927088,0.00001556623,0.000007241346,0.0005259723],"genre_scores_gemma":[0.0006130551,0.9986818,0.0002246303,0.0001069164,0.000145943,0.000004975549,0.00002370204,0.000001720352,0.0001971083],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003816685,"threshold_uncertainty_score":0.01276809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2561403402724642,"score_gpt":0.4483001052308915,"score_spread":0.1921597649584272,"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."}}