{"id":"W4232973385","doi":"10.1016/j.mprp.2016.06.040","title":"Million dollar investment in Canadian metallurgy","year":2016,"lang":"en","type":"article","venue":"Metal Powder Report","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Investment (military); Business; Materials science; Metallurgy; Finance; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001559895,0.0009818807,0.0004145871,0.005016485,0.004230675,0.003729172,0.001498701,0.002188822,0.03517925],"category_scores_gemma":[0.004809307,0.0003818101,0.0008420945,0.004753248,0.0009878112,0.0009850853,0.00137919,0.001758163,0.003298916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08621216,"about_ca_system_score_gemma":0.1885639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987335,"about_ca_topic_score_gemma":0.9881709,"domain_scores_codex":[0.9956617,0.000104075,0.00007582399,0.0001801459,0.003092427,0.0008858092],"domain_scores_gemma":[0.9959241,0.0001303466,0.00009338465,0.0000764037,0.002986948,0.0007887597],"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":[0.0004095084,0.00008873158,0.01105153,0.0004455477,0.0001283933,0.0004957354,0.0004316185,0.002890807,0.002253313,0.07839711,0.7615688,0.1418388],"study_design_scores_gemma":[0.00003533886,0.00003704993,0.02147947,0.0001365641,0.00004807286,0.0001383426,0.000560286,0.001224377,0.001186612,0.001528406,0.9735885,0.00003682757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09123749,0.02192971,0.002411804,0.109069,0.006739624,0.0003060788,0.03581855,0.001335875,0.7311519],"genre_scores_gemma":[0.3459761,0.01761214,0.003437945,0.004382094,0.0005441909,0.00009545685,0.0131617,0.0002518125,0.6145387],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08621216,"threshold_uncertainty_score":0.6255159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032687438722178,"score_gpt":0.2100298153172854,"score_spread":0.1997029409300636,"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."}}