{"id":"W6931203157","doi":"10.5281/zenodo.3460981","title":"lnacquaroli/ThinFilmsTools.jl: v0.6.3","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Thin film; Refractive index; Mixing (physics); Refraction; Thermal; Plot (graphics)","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":[],"category_scores_codex":[0.006724754,0.003274971,0.004372746,0.007789443,0.0007556828,0.006091592,0.004089617,0.001721413,0.5950266],"category_scores_gemma":[0.02644366,0.003158684,0.006309373,0.00926681,0.0005310124,0.004377579,0.0040953,0.002196111,0.3175002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513186,"about_ca_system_score_gemma":0.005057661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004242084,"about_ca_topic_score_gemma":0.007479094,"domain_scores_codex":[0.9974495,0.0009699142,0.0004943284,0.0004518972,0.000429707,0.0002047398],"domain_scores_gemma":[0.9882889,0.007848538,0.001047953,0.001194679,0.001259037,0.0003608207],"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":[0.0003342103,0.00002761688,0.000634677,0.04397452,0.001409267,0.0000975598,0.0001774824,0.000526196,0.0006104161,0.005643041,0.9082013,0.0383637],"study_design_scores_gemma":[0.0005759089,0.00004170315,0.001283532,0.005197644,0.000776135,0.0001541679,0.00006194656,0.0007853325,0.001127821,0.008515093,0.9813556,0.0001250462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0005823108,0.004558432,0.01689037,0.001094818,0.0004847916,0.001229801,0.8457409,0.1064532,0.02296543],"genre_scores_gemma":[0.01259899,0.009844358,0.1590223,0.003251394,0.0004484897,0.022123,0.5657805,0.168075,0.05885585],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5950266,"threshold_uncertainty_score":0.5776454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8435859818991904,"score_gpt":0.5379274250109818,"score_spread":0.3056585568882086,"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."}}