{"id":"W7066610433","doi":"","title":"Justin Nielsen Shares Insights on Leadership, Empathy, and Renewable Energy in Exclusive Online Interview – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Energy (signal processing); Government (linguistics); Energy policy; Subsidy","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":[0.00006727935,0.0002106829,0.000287832,0.00009834199,0.00002806661,0.0000743614,0.0001492583,0.0001151491,0.003527099],"category_scores_gemma":[0.00002242668,0.0001504766,0.00001452536,0.00007588875,0.00006734535,0.00001922942,0.0002017435,0.00008751736,0.00001058844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003780586,"about_ca_system_score_gemma":0.0001724728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9007287,"about_ca_topic_score_gemma":0.9845904,"domain_scores_codex":[0.9988208,0.00003665637,0.0002726691,0.0005267338,0.0001504063,0.0001927424],"domain_scores_gemma":[0.999465,0.00002249344,0.00009789893,0.0003151572,0.00001272388,0.00008672186],"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":[0.000006009749,0.00004124466,0.00000886339,0.0005760026,0.000009714087,0.0003065027,0.0002236173,0.000006343448,0.001415998,0.0005212479,0.9945431,0.002341371],"study_design_scores_gemma":[0.00009752528,0.00004735614,0.00003336805,0.0008893589,0.00002062705,0.00004781345,0.000625416,0.00008426189,0.001217401,0.0002343296,0.9964653,0.0002372218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01052055,0.04624249,0.00004598032,0.004633095,0.0007065377,0.0005667374,0.0003236596,0.000187395,0.9367735],"genre_scores_gemma":[0.01604675,0.001020884,0.0002820938,0.001338429,0.0001624606,0.00006131898,0.00006416178,0.0001109045,0.980913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08386166,"threshold_uncertainty_score":0.9973838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04105795802829169,"score_gpt":0.2478005423469086,"score_spread":0.2067425843186169,"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."}}