{"id":"W4405713444","doi":"10.29173/hsi462","title":"Interview with Dr. Shelir Ebrahimi: Climate change and wastewater treatment – a dive into a mentor’s life","year":2022,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Environmental science; Psychology; Computer science; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008142805,0.0007794503,0.0009310352,0.0008861565,0.01292194,0.003425514,0.001835357,0.01338917,0.01285235],"category_scores_gemma":[0.03202031,0.0008738659,0.0009671153,0.0008990973,0.00440569,0.005162571,0.004524545,0.03640733,0.003335358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006867904,"about_ca_system_score_gemma":0.009120499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03323721,"about_ca_topic_score_gemma":0.06153055,"domain_scores_codex":[0.9957359,0.002613286,0.0001992213,0.0002687148,0.0004202824,0.0007626155],"domain_scores_gemma":[0.9742866,0.00668023,0.001293473,0.0002775952,0.005246872,0.01221508],"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":[0.0001140721,0.0001278253,0.002348558,0.0002519313,0.00002366458,0.00246681,0.04311782,0.000130542,0.0006859717,0.001135763,0.9411582,0.008438863],"study_design_scores_gemma":[0.00007002051,0.0001824266,0.00408083,0.0006428477,0.00002710055,0.003185051,0.2498339,0.0002514375,0.0004682545,0.001254343,0.7397926,0.0002111307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006883854,0.002700543,0.0003357107,0.9808772,0.006515454,0.00009960186,0.0001679399,0.00006704769,0.002352782],"genre_scores_gemma":[0.05460913,0.00345897,0.0007090979,0.9186791,0.003517107,0.0004023697,0.00007021691,0.00008750025,0.01846643],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03323721,"threshold_uncertainty_score":0.06608748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126737987654515,"score_gpt":0.3152507910072378,"score_spread":0.2025769922417863,"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."}}