{"id":"W4390340363","doi":"10.2991/978-94-6463-318-4_5","title":"Responsible Resource Management through Technical Assistance","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in engineering research/Advances in Engineering Research","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Global Affairs Canada; Ministry of Environment; Strong","keywords":"Business; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005083476,0.0009935792,0.001091249,0.005237729,0.0002213051,0.0002465831,0.001632288,0.000871538,0.0001237977],"category_scores_gemma":[0.001307176,0.001176278,0.0001962539,0.003385293,0.0003990784,0.001907803,0.0006115818,0.007497779,0.0004456422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210454,"about_ca_system_score_gemma":0.0001593759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006619273,"about_ca_topic_score_gemma":0.0002508769,"domain_scores_codex":[0.9908344,0.000125761,0.001499147,0.001559803,0.003302617,0.002678302],"domain_scores_gemma":[0.9941424,0.003545968,0.00008883725,0.001485736,0.0003928427,0.0003442632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009969412,0.00004267005,0.00001471511,0.004384959,0.00004111944,0.0008093386,0.000128696,0.8049675,0.000498705,0.180503,0.001821501,0.006688186],"study_design_scores_gemma":[0.0006322877,0.0001170526,0.00007562622,0.004807756,0.000007623528,0.00003134356,0.0001432478,0.0283037,0.0005361965,0.01872755,0.9454807,0.001136895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.00007907694,0.1138197,0.0161877,0.0002201804,0.001731813,0.002131508,0.00007964265,0.002804967,0.8629454],"genre_scores_gemma":[0.03975948,0.5653823,0.02552487,0.00003256022,0.001452263,0.003408958,0.000250325,0.002226015,0.3619632],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9436592,"threshold_uncertainty_score":0.9990687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217779657816326,"score_gpt":0.3853696949557172,"score_spread":0.3331918983775539,"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."}}