{"id":"W4394194161","doi":"10.6084/m9.figshare.22581733","title":"Material intensity","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Intensity (physics); Environmental science; Physics; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007490016,0.003326375,0.001670861,0.00696221,0.0008601156,0.002844543,0.0022143,0.002755389,0.05333748],"category_scores_gemma":[0.004742813,0.0009167804,0.002397782,0.01197388,0.0005854738,0.001613199,0.001499881,0.002003063,0.08570166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521167,"about_ca_system_score_gemma":0.002464029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03483009,"about_ca_topic_score_gemma":0.05547871,"domain_scores_codex":[0.9984811,0.0001401161,0.000184851,0.0005116136,0.0004482849,0.0002340929],"domain_scores_gemma":[0.9978678,0.0005006664,0.0002799897,0.0005217848,0.0006180767,0.0002115361],"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":[0.000193687,0.00009038511,0.004014985,0.00143024,0.00009369872,0.0000523619,0.00005723778,0.001082902,0.0004716897,0.000941486,0.9848223,0.00674894],"study_design_scores_gemma":[0.0002789421,0.0000425494,0.01494619,0.0003969379,0.00007492462,0.0001087111,0.0001685962,0.0008544572,0.0007589853,0.001317331,0.9809803,0.00007197258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003186731,0.00006464632,0.00004196286,0.00002710944,0.00001931473,0.000006606153,0.9988413,0.000192756,0.0004876329],"genre_scores_gemma":[0.0004808231,0.00006189787,0.0002103018,0.00002447626,0.000006172007,0.00003160674,0.9985541,0.00003589419,0.0005947066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05333748,"threshold_uncertainty_score":0.1784317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641045168589404,"score_gpt":0.224235379836527,"score_spread":0.1978249281506329,"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."}}