{"id":"W2509538717","doi":"10.15623/ijret.2016.0527012","title":"OPTIMIZATION OF A-SIC: HASBUFFER LAYER FOR EFFICIENCY ENHANCEMENT OF AMORPHOUS SILICON SOLAR CELLS","year":2016,"lang":"en","type":"article","venue":"International Journal of Research in Engineering and Technology","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India; International Development Research Centre","keywords":"Amorphous silicon; Materials science; Layer (electronics); Optoelectronics; Engineering physics; Silicon; Amorphous solid; Nanotechnology; Crystalline silicon; Engineering; Chemistry; Crystallography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000171411,0.0004921061,0.0003875288,0.00025386,0.0001867945,0.0006886212,0.0005313752,0.0003754728,0.0008432656],"category_scores_gemma":[0.0002153063,0.0002646473,0.0002493373,0.0002307497,0.0001017513,0.0002896489,0.0001843652,0.0002577692,0.0002486155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023608,"about_ca_system_score_gemma":0.0002854869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000814414,"about_ca_topic_score_gemma":0.002303538,"domain_scores_codex":[0.9999019,0.000007509883,0.00001071797,0.00002534235,0.00003484564,0.00001971152],"domain_scores_gemma":[0.9999002,0.00002256504,0.000027659,0.000006405108,0.00002603524,0.00001710438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003836446,0.00003407871,0.0002020113,0.00006635705,0.00001029057,0.0000354903,0.000006688562,0.0005909352,0.9977129,0.00004908898,0.00003772749,0.001215989],"study_design_scores_gemma":[0.00001272169,0.0001183039,0.0008748772,0.000006255205,0.0000212567,0.00003423181,0.00001075843,0.002062822,0.9961423,0.00001195446,0.0006998313,0.000004739487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914607,0.002067851,0.004220677,0.00006354733,0.00004495338,0.00005422418,0.0002391322,0.00009469464,0.001754304],"genre_scores_gemma":[0.9895752,0.0009711547,0.007987252,0.00002701197,0.00000827087,0.00003690799,0.0002238422,0.00002737214,0.001143114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008432656,"threshold_uncertainty_score":0.002820969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345960935100273,"score_gpt":0.2974997522875284,"score_spread":0.2740401429365257,"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."}}