{"id":"W6987021902","doi":"","title":"Santa Rosa green energy funder Ygrene gets $145M; other North Bay business briefs","year":2016,"lang":"en","type":"other","venue":"","topic":"Urban Arborization and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bay; Renewable energy; Sustainability; Energy (signal processing)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004266923,0.0005094573,0.0003755719,0.00007196958,0.0001249213,0.00002836625,0.0003926696,0.0002218336,0.2236869],"category_scores_gemma":[0.000004422884,0.0003619673,0.0000920379,0.0001682145,0.0004378802,0.0001038441,0.0005507498,0.00008096475,0.01070943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180688,"about_ca_system_score_gemma":0.000007201485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01868221,"about_ca_topic_score_gemma":0.07166011,"domain_scores_codex":[0.9979969,0.0000423171,0.000262954,0.0007071397,0.0005046865,0.0004859723],"domain_scores_gemma":[0.9991241,0.00001817001,0.0001853294,0.0004979232,0.000003459321,0.0001710677],"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":[0.000008432254,0.00009881236,0.06832867,0.00001211738,0.00009194112,0.00001209609,0.00003939628,0.000008977526,0.0001246473,0.00006228855,0.9173213,0.01389138],"study_design_scores_gemma":[0.000347281,0.00001399523,0.08439422,0.00002860637,0.00002685946,0.000002567756,0.000006407899,0.000006665055,0.0000451113,0.00003974311,0.9145339,0.0005546519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000111168,0.0005000026,0.004273384,0.0004518151,0.0003380006,0.0001864362,0.0001526128,0.0002650118,0.9937215],"genre_scores_gemma":[0.002125213,0.001760643,0.0002536671,0.003202224,0.0003842747,0.00003270556,0.00006485273,0.0004445863,0.9917318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2129775,"threshold_uncertainty_score":0.9998832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008702113033275104,"score_gpt":0.1875612186031007,"score_spread":0.1788591055698256,"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."}}