{"id":"W2076930167","doi":"10.1016/j.solmat.2013.01.032","title":"A new method to determine the effects of hydrodynamic surface coatings on the snow shedding effectiveness of solar photovoltaic modules","year":2013,"lang":"en","type":"article","venue":"Solar Energy Materials and Solar Cells","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Snow; Photovoltaic system; Environmental science; Snow removal; Clearing; Meteorology; Atmospheric sciences; Engineering; Electrical engineering; Geology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0009186796,0.000295002,0.0005453422,0.00009149452,0.0001278561,0.00008435424,0.0003328547,0.0001644059,0.00001787943],"category_scores_gemma":[0.0001767903,0.0001811242,0.00007750151,0.0001727233,0.00006160781,0.00008395711,0.0001457677,0.000132913,0.000007054769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002611732,"about_ca_system_score_gemma":0.00001253135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002144165,"about_ca_topic_score_gemma":0.00002167784,"domain_scores_codex":[0.9985465,0.0003523315,0.000341647,0.0002518896,0.0001761753,0.0003314556],"domain_scores_gemma":[0.9977662,0.001538397,0.0001120614,0.0004808776,0.00004676231,0.0000556965],"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":[0.00002294513,0.0000124641,0.0000164885,0.0004642858,0.00005761122,0.000001769685,0.0002692918,0.01351638,0.9802292,0.0002462934,0.0001385412,0.005024753],"study_design_scores_gemma":[0.0002380319,0.0002106163,0.000254396,0.0005573979,0.00004201492,0.00000316501,0.00007514207,0.01678604,0.9803783,0.00116751,0.0000872327,0.0002002106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937166,0.0001072344,0.1051858,0.0000246825,0.0003790548,0.0003677624,0.00001082145,0.0001506936,0.00005734068],"genre_scores_gemma":[0.9938004,0.0001514185,0.005822268,0.00003823585,0.00003895061,0.00003873379,0.000003489265,0.00005648262,0.00005004467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1000838,"threshold_uncertainty_score":0.7386031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00481009111492788,"score_gpt":0.2015760509039481,"score_spread":0.1967659597890203,"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."}}