{"id":"W2972095386","doi":"10.22515/sustinere.jes.v3i2.74","title":"Creation of a participatory database of bioenergy projects","year":2019,"lang":"en","type":"article","venue":"Sustinere Journal of Environment and Sustainability","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Mitacs","keywords":"Bioenergy; Database; Work (physics); Resource (disambiguation); Business; Agency (philosophy); Environmental economics; Production (economics); Computer science; Environmental resource management; Renewable energy; Engineering; Environmental science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004189158,0.0008995192,0.001064134,0.01410563,0.001228485,0.003352059,0.001676419,0.001038712,0.01478902],"category_scores_gemma":[0.01407239,0.0005500697,0.0007180575,0.01463882,0.0003850134,0.00314455,0.003423285,0.001027392,0.008050183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315629,"about_ca_system_score_gemma":0.003402557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005607808,"about_ca_topic_score_gemma":0.007305993,"domain_scores_codex":[0.9940867,0.001287336,0.001176717,0.001209047,0.001910588,0.0003294483],"domain_scores_gemma":[0.9834168,0.005517333,0.002060044,0.003957925,0.003669599,0.001378383],"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":[0.00114543,0.0009160961,0.06865249,0.006352791,0.000316572,0.001810284,0.009303446,0.01142002,0.0102617,0.0239594,0.2628839,0.6029778],"study_design_scores_gemma":[0.0001013795,0.0001542884,0.03213618,0.0007651981,0.0001172221,0.0005408737,0.00464541,0.007822213,0.00506381,0.008777355,0.939697,0.0001791994],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07003638,0.001662662,0.07762034,0.00107482,0.0002893557,0.003090571,0.7920217,0.005425544,0.04877868],"genre_scores_gemma":[0.116676,0.001767952,0.1643771,0.0001922245,0.0001195663,0.004807038,0.6966208,0.0007307358,0.01470865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01478902,"threshold_uncertainty_score":0.04947418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208155396606053,"score_gpt":0.2398807046469618,"score_spread":0.2277991506809013,"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."}}