{"id":"W4391452905","doi":"10.1007/978-3-031-50244-6","title":"Energy Technology 2024","year":2024,"lang":"en","type":"book","venue":"The minerals, metals & materials series","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005925708,0.0009221651,0.0009980996,0.0001873944,0.0002779061,0.0003118816,0.001050883,0.0008409413,0.03342534],"category_scores_gemma":[0.00001871053,0.0006324481,0.0002274486,0.0002647905,0.001236812,0.0004103497,0.001367765,0.0003931239,0.008399743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003290548,"about_ca_system_score_gemma":0.00006113775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003518346,"about_ca_topic_score_gemma":0.0005974434,"domain_scores_codex":[0.9966141,0.0001748245,0.0007992022,0.0009498839,0.0006314958,0.0008304698],"domain_scores_gemma":[0.9981804,0.0000634438,0.0003469782,0.001245934,0.000008178215,0.0001549971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000625381,0.00005000618,0.000003599502,0.000119085,0.0003277588,0.0001798289,0.0001059491,0.0005593245,0.3213071,0.01878518,0.6573901,0.0011095],"study_design_scores_gemma":[0.0001014882,0.0001211671,0.00001957866,0.0001022499,0.00029244,0.0001541572,0.00002386077,0.000002388844,0.03528325,0.0636295,0.8996015,0.0006684762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02035381,0.007190229,0.00005430729,0.003904019,0.007958482,0.00061959,0.0006074497,0.0007801398,0.958532],"genre_scores_gemma":[0.02899929,0.001851977,0.0002026012,0.0008366989,0.0008334498,0.0001934986,0.0002654675,0.0002041017,0.9666129],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2860239,"threshold_uncertainty_score":0.9996127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009119449882245877,"score_gpt":0.2032689193509604,"score_spread":0.1941494694687145,"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."}}