{"id":"W7017514754","doi":"","title":"Canadian Solar (NASDAQ:CSIQ) &amp;amp; Credo Technology Group (NASDAQ:CRDO) Head-To-Head Survey","year":2023,"lang":"en","type":"other","venue":"","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Government (linguistics); Work (physics); Technology transfer","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":[0.0008575598,0.0007900723,0.0005818667,0.004241376,0.002448881,0.001383795,0.001246956,0.0009442051,0.1052752],"category_scores_gemma":[0.002528356,0.0006261709,0.0005095105,0.007675308,0.0003202305,0.000615101,0.0008641626,0.0009184547,0.04453037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01478621,"about_ca_system_score_gemma":0.04752996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9724846,"about_ca_topic_score_gemma":0.9859619,"domain_scores_codex":[0.9986492,0.00003314883,0.00003532247,0.00007496531,0.000874415,0.0003329849],"domain_scores_gemma":[0.9947867,0.000179926,0.0001518194,0.0001272681,0.00403054,0.0007237209],"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":[0.00004516627,0.00005318696,0.005868624,0.00010833,0.000007484133,0.00002065145,0.00003709261,0.0001737807,0.0001429056,0.0003978343,0.9769827,0.01616237],"study_design_scores_gemma":[0.00005361085,0.00002873964,0.1254885,0.0001051286,0.00001728265,0.00002653808,0.0004237155,0.0008272443,0.0009504204,0.0001945123,0.8718515,0.00003286016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007551241,0.0003384289,0.0004584142,0.001855775,0.0002189442,0.0004943582,0.8069916,0.0006624783,0.1814287],"genre_scores_gemma":[0.01846958,0.001241565,0.001502576,0.001534944,0.00006107474,0.0004291544,0.2567818,0.0003243165,0.719655],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9724846,"threshold_uncertainty_score":0.3521806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269416692814601,"score_gpt":0.2698633784459562,"score_spread":0.2471692115178102,"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."}}