{"id":"W4292952798","doi":"10.17760/d20429180","title":"Environment-friendly and efficient hornet nest envelope-based photothermal absorber","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Solar desalination; Desalination; Evaporation; Seawater; Environmental science; Photothermal therapy; Solar still; Desiccation; Environmental engineering; Materials science; Nest (protein structural motif); Humidity; Ecology; Nanotechnology; Geography; Chemistry; Biology; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003548355,0.0005006567,0.0004595012,0.0001980262,0.0001281513,0.0001447589,0.0002765374,0.0005270356,0.01251489],"category_scores_gemma":[0.00006822793,0.0004844844,0.0001406156,0.000173338,0.00006819252,0.00005076453,0.00003600751,0.0003572237,0.0004545506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009941054,"about_ca_system_score_gemma":0.0001436435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005995395,"about_ca_topic_score_gemma":0.0001846596,"domain_scores_codex":[0.9973968,0.0002983436,0.0005350862,0.0008954611,0.0004603838,0.0004138749],"domain_scores_gemma":[0.9985693,0.0001580817,0.0002351452,0.0007836596,0.00006611152,0.0001877654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002464351,0.004003185,0.007114516,0.002897321,0.002186095,0.00072478,0.022326,0.07371675,0.5488881,0.02975503,0.01905247,0.2868714],"study_design_scores_gemma":[0.002929657,0.0001593835,0.06891627,0.0002040603,0.0003643919,0.00002469502,0.002895932,0.004521258,0.4540673,0.000260374,0.4630985,0.002558093],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8210099,0.001605075,0.004038189,0.0001376842,0.001313995,0.0007095244,0.00005903826,0.0003066111,0.17082],"genre_scores_gemma":[0.4622876,0.0003117046,0.127578,0.001094614,0.0005662807,0.0008236344,0.01417482,0.0007462191,0.3924171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4440461,"threshold_uncertainty_score":0.9997607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151186612666239,"score_gpt":0.2522847644736983,"score_spread":0.2407728983470359,"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."}}