{"id":"W4233542069","doi":"10.1007/978-3-319-30205-8_16","title":"Biohydrogen","year":2016,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Biohydrogen; Renewable energy; Context (archaeology); Raw material; Fossil fuel; Waste management; Environmental science; Hydrogen production; Engineering; Natural resource economics; Hydrogen; Chemistry; Economics; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00009466607,0.0006249051,0.0007860664,0.001052321,0.0001410118,0.00001717318,0.0005383363,0.001999197,0.0007716125],"category_scores_gemma":[0.00001568899,0.0005050151,0.0001368027,0.0001168428,0.0005957941,0.00006215236,0.0003938032,0.0002474406,0.0002920341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009575383,"about_ca_system_score_gemma":0.00008384973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878486,"about_ca_topic_score_gemma":0.00435735,"domain_scores_codex":[0.9978316,0.00002268657,0.0005058733,0.0008632776,0.0002304011,0.0005461803],"domain_scores_gemma":[0.9983603,0.00005459859,0.0002976624,0.001036858,0.0001024049,0.0001482112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007697105,0.00000500648,0.00001060533,0.00001609126,0.0002502298,0.0001720515,0.000002451823,0.000005193636,0.0006154369,0.8166862,0.001082773,0.1811463],"study_design_scores_gemma":[0.000274057,0.00006358747,4.319332e-7,0.0001272054,0.00004486203,0.0002411651,0.000001684552,0.00001266564,0.002512173,0.2825485,0.7137179,0.0004557693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001178584,0.005738401,0.0002449368,0.001753632,0.0004928894,0.00006750098,0.00004193196,0.0009470422,0.9905958],"genre_scores_gemma":[0.03089671,0.001291641,0.0000783513,0.000190338,0.0006560523,0.0000449687,0.00004784234,0.0001980594,0.966596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7126351,"threshold_uncertainty_score":0.9997401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008268014243849955,"score_gpt":0.1843229070959957,"score_spread":0.1760548928521458,"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."}}