{"id":"W3103100888","doi":"10.1002/adma.202003722","title":"Moisture‐Enabled Electricity Generation: From Physics and Materials to Self‐Powered Applications","year":2020,"lang":"en","type":"review","venue":"Advanced Materials","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":410,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Moisture; Materials science; Nanotechnology; Electricity; Graphene; Process engineering; Energy storage; Electricity generation; Electronics; Environmental science; Electrical engineering; Power (physics); Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728558,0.0006644948,0.0006692312,0.001695975,0.0002599323,0.0008038312,0.0005577969,0.0008508295,0.003713189],"category_scores_gemma":[0.0003034119,0.000315498,0.0003972937,0.00200117,0.0004386628,0.001531881,0.0006558926,0.00140843,0.001515104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004536685,"about_ca_system_score_gemma":0.0006102031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007053639,"about_ca_topic_score_gemma":0.001181858,"domain_scores_codex":[0.9999033,0.00001326813,0.000008684388,0.00001900918,0.00003898302,0.00001665487],"domain_scores_gemma":[0.9999027,0.00004938371,0.00001317672,0.000004192802,0.00002048448,0.000009933514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005072789,0.00008661499,0.0001961011,0.02519572,0.00007113165,0.0002731541,0.0001168253,0.0008395329,0.008697303,0.02281383,0.03049052,0.9111685],"study_design_scores_gemma":[0.000005781229,0.00006816785,0.0004242539,0.002149269,0.00003836373,0.0005759833,0.00005888615,0.0001795252,0.001455443,0.004754452,0.9902743,0.00001566453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003159716,0.9961711,0.0002735811,0.0002859746,0.0002666029,0.000004729154,0.00001928486,0.00001023311,0.002652614],"genre_scores_gemma":[0.001561774,0.9968437,0.0001927396,0.0001541612,0.0001480462,0.000006509268,0.0000212497,0.00000184775,0.001069956],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003713189,"threshold_uncertainty_score":0.01242185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04396853856161702,"score_gpt":0.3349719783099936,"score_spread":0.2910034397483766,"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."}}