{"id":"W7010477342","doi":"","title":"INNERGEX COMPLETES THE ACQUISITION OF A 60 MW SOLAR PORTFOLIO IN ONTARIO","year":2023,"lang":"de","type":"other","venue":"","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Renewable energy; Solar energy; Investment (military)","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":[0.0001696024,0.0003777405,0.0005009018,0.0005237947,0.0000417255,0.00002765784,0.0004245173,0.0004554465,0.01008495],"category_scores_gemma":[0.00005512056,0.0003047994,0.0001135471,0.0005279132,0.000120492,0.00008560046,0.0001564497,0.0006062874,0.0008311963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736537,"about_ca_system_score_gemma":0.00008178878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01931022,"about_ca_topic_score_gemma":0.4178098,"domain_scores_codex":[0.9984441,0.00002866325,0.0006034201,0.0003237911,0.0002436009,0.0003564111],"domain_scores_gemma":[0.9989417,0.0001079778,0.0001898367,0.0006869332,0.00004713468,0.00002642883],"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":[0.00006962437,0.0003427618,0.02329723,0.0006990817,0.001816002,0.0002683211,0.004506081,0.4167964,0.01377472,0.08083885,0.4332094,0.02438152],"study_design_scores_gemma":[0.001221017,0.0002087998,0.02203022,0.0009574752,0.0001413566,0.000008665288,0.001441106,0.01301022,0.01923474,0.008865435,0.9312586,0.001622395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04248225,0.01354649,0.1432473,0.002013896,0.01104836,0.005099474,0.0003724149,0.01306999,0.7691198],"genre_scores_gemma":[0.3681736,0.00326783,0.02111524,0.0003026476,0.0005311359,0.0003564701,0.0004004837,0.002030064,0.6038225],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4980491,"threshold_uncertainty_score":0.9999468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617578879851785,"score_gpt":0.2232653404126656,"score_spread":0.2070895516141478,"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."}}