{"id":"W4300341018","doi":"","title":"Solar Energy Technologies Program Newsletter - First Quarter 2010","year":2015,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Solar Energy Technologies Program; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Quarter (Canadian coin); Solar energy; Computer science; Engineering physics; Environmental science; Engineering; Geography; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000508693,0.0003397779,0.0005098369,0.0002827467,0.0001376132,0.00009551449,0.0005404191,0.0004850105,0.0007827862],"category_scores_gemma":[0.000107661,0.0002753364,0.0001209918,0.0005427165,0.001688151,0.000488467,0.0004942085,0.000149321,0.00005812034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295922,"about_ca_system_score_gemma":0.00007252979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997723,"about_ca_topic_score_gemma":0.001435471,"domain_scores_codex":[0.997586,0.00003331966,0.0007695553,0.0004201668,0.0008007208,0.0003903119],"domain_scores_gemma":[0.9983009,0.00004626146,0.000645175,0.0007823914,0.00008796624,0.0001373451],"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":[0.00002234745,0.0002374063,0.001027911,0.0001123765,0.00002880463,0.000001753973,0.000004703879,0.00001070591,0.00004502576,0.0007582917,0.9919985,0.00575217],"study_design_scores_gemma":[0.000284364,0.0002075829,0.002268911,0.00008426372,0.00003225425,0.00001030607,0.00002324308,0.00001692512,0.0003173519,0.0003874291,0.9960793,0.0002881039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001777125,0.0004177135,0.002277077,0.0006166702,0.0008337681,0.000942292,0.0004255025,0.0007845676,0.9919253],"genre_scores_gemma":[0.8471411,0.000188754,0.0070953,0.0002379544,0.00008771359,0.0006199859,0.004028357,0.0001497998,0.1404511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8514742,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008080367183141313,"score_gpt":0.2130014583354292,"score_spread":0.2049210911522878,"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."}}