{"id":"W6986469265","doi":"","title":"With Pratt & Whitney Canada Power, Comes Great Sustainability","year":2022,"lang":"en","type":"other","venue":"","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Government (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006447241,0.0009212638,0.0003973936,0.001771471,0.003241463,0.004675092,0.0009409869,0.002149673,0.5242788],"category_scores_gemma":[0.002118278,0.0004828843,0.0004364182,0.001621664,0.001268309,0.002564766,0.002826415,0.002347117,0.2347178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699051,"about_ca_system_score_gemma":0.005492759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1045462,"about_ca_topic_score_gemma":0.4179026,"domain_scores_codex":[0.999492,0.00003147849,0.00001078517,0.00007412096,0.0003186166,0.00007291074],"domain_scores_gemma":[0.9984282,0.0001104955,0.0000348061,0.0001188758,0.0006458597,0.0006618187],"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":[0.00001160869,0.00001218812,0.0001104471,0.00002927072,0.000001178428,0.00004962668,0.00005535797,0.00004414145,0.0001234318,0.004684533,0.9231263,0.07175184],"study_design_scores_gemma":[0.000001799434,0.00000158434,0.0001489435,0.0000192399,7.753422e-7,0.00001794937,0.00004164805,0.00003093383,0.00005651757,0.0009738423,0.9987041,0.000002738645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004246933,0.001555497,0.001066369,0.007209262,0.001739832,0.00006066548,0.001017849,0.001214976,0.9857109],"genre_scores_gemma":[0.000566436,0.0002092506,0.0002539683,0.0003153762,0.00008313736,0.000006407571,0.0001037616,0.0001600151,0.9983015],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5242788,"threshold_uncertainty_score":0.6785586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006001264716075452,"score_gpt":0.2137184919850243,"score_spread":0.2077172272689488,"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."}}