{"id":"W4236810371","doi":"10.1063/1.5023288.1","title":"10.1063/1.5023288.1","year":2018,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Electrodeposition and Electroless Coatings","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Norcada (Canada); McMaster University","funders":"","keywords":"Electrode; Stripping (fiber); Microfabrication; Copper; Electrolyte; Materials science; Electrochemistry; Silicon; Deposition (geology); Absorption (acoustics); Etching (microfabrication); Nanotechnology; Analytical Chemistry (journal); Chemical engineering; Metallurgy; Chemistry; Composite material; Layer (electronics); Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000826939,0.00307053,0.001806537,0.004400451,0.0008060514,0.003162683,0.003356494,0.001988339,0.3283826],"category_scores_gemma":[0.002568608,0.0005570557,0.001034279,0.008470205,0.0005100024,0.001363686,0.002458352,0.001453819,0.5614463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114269,"about_ca_system_score_gemma":0.001318559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01397887,"about_ca_topic_score_gemma":0.0204277,"domain_scores_codex":[0.9989969,0.0001286102,0.00007913016,0.0002887623,0.000294156,0.0002124843],"domain_scores_gemma":[0.999382,0.0001058882,0.0000443374,0.0002523814,0.0001290154,0.00008634556],"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":[0.00004852089,0.00003468647,0.001126518,0.0006328335,0.00003033445,0.00003492929,0.00002537493,0.0006261199,0.000175886,0.0005150622,0.9809636,0.01578618],"study_design_scores_gemma":[0.00007832768,0.00001806262,0.002450101,0.000167341,0.00001309269,0.00004243355,0.00005250303,0.0007866902,0.0003711623,0.001465936,0.9945385,0.00001583167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002334984,0.0001484013,0.0002365539,0.0000731721,0.0000476297,0.00001866911,0.9936319,0.002194871,0.003415349],"genre_scores_gemma":[0.0005022385,0.000106447,0.0003870025,0.00002920056,0.000009228038,0.00004764022,0.9966445,0.0001672823,0.00210653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6716174,"threshold_uncertainty_score":0.9579807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004224384082251107,"score_gpt":0.1979905244095881,"score_spread":0.193766140327337,"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."}}