{"id":"W185986283","doi":"","title":"Ontario, Canadá: gran potencial de pellet","year":2009,"lang":"es","type":"article","venue":"˜The œBioenergy international","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pellet; Geography; Zoology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002345987,0.0002288985,0.0001545637,0.000121519,0.0001692798,0.0001989947,0.0004944404,0.0001401697,0.002632002],"category_scores_gemma":[0.00001957376,0.0001896339,0.0001716533,0.00009127837,0.00003845529,0.0001273652,0.00003310823,0.0004700707,0.0001607984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000696935,"about_ca_system_score_gemma":0.0001690056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09236722,"about_ca_topic_score_gemma":0.1545938,"domain_scores_codex":[0.9986967,0.00005088176,0.0003106162,0.0002218758,0.0003821239,0.0003378019],"domain_scores_gemma":[0.9994834,0.00003742719,0.00008136609,0.0001959973,0.00006715031,0.0001346801],"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":[0.0003575998,0.0006074175,0.007903325,0.00003554158,0.001320868,0.0003617554,0.003208225,0.08124093,0.0721499,0.3409922,0.07017989,0.4216424],"study_design_scores_gemma":[0.0003600066,0.00005306355,0.04548891,0.00004158858,0.00003610738,0.0001234968,0.00005753671,0.02439252,0.0007049774,0.0009321172,0.9275203,0.0002893546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4660044,0.0004397483,0.01486627,0.01068992,0.009163881,0.0001833577,0.00009944232,0.0002472587,0.4983057],"genre_scores_gemma":[0.9790101,0.00006468282,0.0003580344,0.001663245,0.001419315,0.000003579157,0.00006452086,0.00001734498,0.01739915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8573405,"threshold_uncertainty_score":0.9982798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007925498991824645,"score_gpt":0.221903446012819,"score_spread":0.2139779470209943,"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."}}