{"id":"W7046070789","doi":"","title":"Canadian Solar's Q3 Margin Squeeze: What's Next for CSIQ Stock?","year":2024,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Table (database); Term (time); Line (geometry); Point (geometry)","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":[0.002404973,0.0007109373,0.000518453,0.001092521,0.009958175,0.009088193,0.002371325,0.004350027,0.2258316],"category_scores_gemma":[0.00636833,0.0004084257,0.0007945808,0.001772222,0.002387587,0.004123592,0.003089347,0.004294897,0.03209465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04051549,"about_ca_system_score_gemma":0.1573918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9514575,"about_ca_topic_score_gemma":0.9726636,"domain_scores_codex":[0.9974726,0.00007944228,0.00002669096,0.0001295714,0.001497778,0.000793926],"domain_scores_gemma":[0.993936,0.0001981891,0.00005888976,0.0002069751,0.003438752,0.002161227],"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":[0.00003629163,0.00001592759,0.0004040613,0.00003270942,0.000004366312,0.00004092672,0.00007441887,0.00008400623,0.0001486625,0.01873576,0.9626331,0.01778976],"study_design_scores_gemma":[0.00001972992,0.000009532944,0.0009287194,0.00007105099,0.000006817581,0.00002065396,0.0004608803,0.0001648494,0.0002414931,0.00370307,0.9943454,0.00002785806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00457405,0.004350891,0.001324667,0.2099243,0.009058083,0.000103913,0.007834055,0.001593781,0.7612364],"genre_scores_gemma":[0.06186425,0.003889694,0.003330427,0.04498098,0.001040756,0.00005747877,0.003333803,0.001153888,0.8803487],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7741684,"threshold_uncertainty_score":0.7554819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612559375484723,"score_gpt":0.2735663129918341,"score_spread":0.2574407192369869,"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."}}