{"id":"W6982205938","doi":"","title":"Head-To-Head Survey: Canadian Solar (NASDAQ:CSIQ) and Credo Technology Group (NASDAQ:CRDO)","year":2023,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Government (linguistics); Work (physics); Technology assessment","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":[],"consensus_categories":[],"category_scores_codex":[0.001031968,0.001299226,0.0009410044,0.004938381,0.002379232,0.001308925,0.002375907,0.001306725,0.1156016],"category_scores_gemma":[0.00563916,0.0008003348,0.0008378812,0.01248363,0.0003564004,0.0007702601,0.001053434,0.001636965,0.05651014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01940797,"about_ca_system_score_gemma":0.06143729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9834363,"about_ca_topic_score_gemma":0.9866106,"domain_scores_codex":[0.9987261,0.00005782917,0.00008465203,0.000137459,0.0005413131,0.0004525727],"domain_scores_gemma":[0.9933223,0.000291272,0.0003356711,0.0001807904,0.004953435,0.000916468],"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":[0.0000274356,0.00002508319,0.006047486,0.0000929394,0.000008158386,0.00001317196,0.00002464627,0.00007227395,0.00002004209,0.0002284523,0.9876419,0.005798333],"study_design_scores_gemma":[0.0002567977,0.00004298212,0.2500187,0.0004867419,0.00005205009,0.00005277007,0.0004968161,0.001051719,0.000356816,0.0004835779,0.7466357,0.00006523348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00196188,0.0001897607,0.0001341163,0.0009003489,0.0001251394,0.0003308883,0.9771551,0.000205023,0.01899779],"genre_scores_gemma":[0.02038099,0.002495673,0.00154937,0.002508711,0.0002451405,0.001735182,0.7056915,0.0003453783,0.2650482],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1156016,"threshold_uncertainty_score":0.3867258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04846620614777789,"score_gpt":0.2311045711158674,"score_spread":0.1826383649680896,"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."}}