{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009701031,0.0009364412,0.0005348626,0.001797701,0.003151988,0.004013855,0.001121695,0.002683137,0.6729867],"category_scores_gemma":[0.002539088,0.0007324793,0.0005737317,0.001074693,0.000620876,0.002011229,0.002558535,0.002535104,0.525108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002336492,"about_ca_system_score_gemma":0.007090806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05387746,"about_ca_topic_score_gemma":0.1976352,"domain_scores_codex":[0.9991686,0.00004634589,0.00002162595,0.0000776974,0.0005243985,0.0001612498],"domain_scores_gemma":[0.9976321,0.0001743035,0.00008699194,0.0001757359,0.0009173982,0.001013514],"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":[0.00001362733,0.00003798493,0.00009501591,0.00001469993,8.379168e-7,0.00001663562,0.000009466004,0.00002210361,0.00004688076,0.0005462018,0.9885616,0.01063496],"study_design_scores_gemma":[0.00001117891,0.00000847219,0.000679409,0.0000196765,0.00000138758,0.00001145609,0.00005061155,0.00006686946,0.00004506118,0.0002240988,0.9988772,0.000004468965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006762886,0.0003665292,0.0001989623,0.003906654,0.001388378,0.0001299301,0.003047441,0.0006940537,0.9895918],"genre_scores_gemma":[0.0003885771,0.00008729698,0.0000384116,0.0002667492,0.00006523082,0.00001690969,0.0005009017,0.00009070466,0.9985453],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6729867,"threshold_uncertainty_score":0.4664447,"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."}}