{"id":"W7036740169","doi":"","title":"Canadian Solar (CSIQ) to Become Largest Solar Player in Italy","year":2022,"lang":"en","type":"other","venue":"","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Solar energy; Government (linguistics); Work (physics); Climate change","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":[0.0004359247,0.0002688348,0.0003268306,0.000941305,0.000277342,0.0004419339,0.0005417082,0.0002538921,0.3554367],"category_scores_gemma":[0.00007390308,0.000263728,0.0000773788,0.00007780202,0.00003198633,0.0001638756,0.0001290524,0.0009975001,0.001084204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000318329,"about_ca_system_score_gemma":0.0002811396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8207758,"about_ca_topic_score_gemma":0.9799769,"domain_scores_codex":[0.9984208,0.00005940396,0.0002573734,0.0003867642,0.00026242,0.0006132044],"domain_scores_gemma":[0.9992958,0.00004515068,0.00007297085,0.0002655069,0.00002124758,0.0002992781],"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":[0.000001115879,0.00001070136,0.0008289657,0.00002497219,0.00002065014,0.00003450732,0.004433739,0.00000132717,1.731613e-7,0.02709987,0.9670249,0.0005190938],"study_design_scores_gemma":[0.0001123935,0.00001921909,0.00005032932,0.00006441238,0.000009345646,0.000002382337,0.004125672,0.000004278065,2.473721e-7,0.000139,0.9950883,0.0003844393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000137328,0.0004478236,0.000001894703,0.004335869,0.0009166608,0.0002436899,0.0006730204,0.0002064966,0.9930372],"genre_scores_gemma":[0.006131638,0.00002010349,0.00005233898,0.006627753,0.002206739,0.00004507283,0.0003021707,0.0003677195,0.9842465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3543525,"threshold_uncertainty_score":0.9999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980823080850549,"score_gpt":0.217694590016493,"score_spread":0.1978863592079875,"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."}}