{"id":"W6980416721","doi":"","title":"Canadian Metals Plans to Broaden Footprint in Silicon-Based End-Markets - Commodities (COMMODIT) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Footprint; Ecological footprint; Production (economics); Measure (data warehouse); Carbon footprint; Sustainability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007063742,0.0005168909,0.0010545,0.00440985,0.0001517218,0.0007823938,0.004876289,0.0005447119,0.02199874],"category_scores_gemma":[0.003557865,0.0003673622,0.000189361,0.002073094,0.0003828502,0.0001639982,0.000375283,0.0008483917,0.003482367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000591123,"about_ca_system_score_gemma":0.003982021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6829327,"about_ca_topic_score_gemma":0.9748219,"domain_scores_codex":[0.9917607,0.0007680145,0.001002431,0.001301871,0.003820527,0.001346428],"domain_scores_gemma":[0.9941483,0.001610151,0.0002494202,0.001678729,0.0002251026,0.002088335],"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":[0.00001329765,0.00002017437,0.004765264,0.000006501159,0.00001246057,0.0000433656,0.0001889669,0.0001227605,0.0000104645,0.0005248809,0.9845989,0.009692933],"study_design_scores_gemma":[0.0003691798,0.0000492557,0.003523292,0.00008136823,0.000005088043,0.000002654368,0.001097672,0.0004670881,0.0000657335,0.002369188,0.9914734,0.0004960574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001333389,0.0003268598,0.0001432448,0.006822204,0.0006483459,0.0009490336,0.001009814,0.0001033386,0.9886638],"genre_scores_gemma":[0.05441757,0.00002457709,0.0005247988,0.002926227,0.0003575927,0.00009236954,0.00006061574,0.0001697629,0.9414265],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2918893,"threshold_uncertainty_score":0.9998778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404162963414884,"score_gpt":0.3995410304640784,"score_spread":0.25912473412259,"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."}}