{"id":"W7020997702","doi":"","title":"Morning Technical Insight on These Semiconductor Stocks -- SolarEdge Technologies, Cirrus Logic, Canadian Solar, and SPI Energy","year":2018,"lang":"en","type":"other","venue":"","topic":"solar cell performance optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cirrus; Energy (signal processing); Morning; Albedo (alchemy)","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":[0.001046587,0.0006658863,0.0002547034,0.001358376,0.001969543,0.004204795,0.0007142583,0.0009048359,0.1218683],"category_scores_gemma":[0.001875679,0.0002577028,0.000351083,0.001681861,0.000562041,0.002858004,0.0008552888,0.001914875,0.02090724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005430563,"about_ca_system_score_gemma":0.005986731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06985173,"about_ca_topic_score_gemma":0.2376988,"domain_scores_codex":[0.9991183,0.00003629238,0.00001402046,0.00003997061,0.0006777678,0.0001135345],"domain_scores_gemma":[0.9989696,0.00008976959,0.0000291933,0.00008343311,0.0007320315,0.00009609541],"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":[0.00004930252,0.00007719324,0.0008465177,0.00006173109,0.000005342037,0.00006626179,0.00009883575,0.001519901,0.001657832,0.08068968,0.7464245,0.168503],"study_design_scores_gemma":[0.00001044036,0.0000276504,0.001756362,0.000096847,0.000005616511,0.00007360967,0.0001806347,0.001999123,0.003104837,0.0203921,0.9723312,0.00002162359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005405265,0.001875888,0.006861624,0.0140844,0.002581774,0.00007111367,0.002417028,0.001168698,0.9655343],"genre_scores_gemma":[0.04145966,0.002837599,0.006325706,0.002039755,0.0004449228,0.00003106819,0.002297134,0.001140093,0.9434242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1218683,"threshold_uncertainty_score":0.4076901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009689578154001188,"score_gpt":0.1893706733283105,"score_spread":0.1796810951743093,"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."}}