{"id":"W7043333383","doi":"","title":"Steel: Price and Availability Issues","year":2004,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Scrap; Steel mill; Mill; China; Investment (military); Quarter (Canadian coin); Safeguard","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00362172,0.0003911423,0.0003516067,0.001694858,0.003076817,0.006841156,0.002277882,0.006216633,0.07041363],"category_scores_gemma":[0.01409463,0.000557078,0.000464985,0.002140478,0.002015168,0.005745856,0.001221534,0.003866496,0.01261759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006288174,"about_ca_system_score_gemma":0.003961324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02771999,"about_ca_topic_score_gemma":0.03529392,"domain_scores_codex":[0.993762,0.0004816146,0.0003009685,0.0006431594,0.004335776,0.0004765526],"domain_scores_gemma":[0.9872795,0.003195823,0.0007688195,0.0006418779,0.007484741,0.0006292579],"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":[0.00006304114,0.00006299103,0.002915014,0.0003510226,0.00001803075,0.0009062506,0.0007583458,0.000601737,0.001865673,0.2448178,0.6582293,0.0894108],"study_design_scores_gemma":[0.00001151343,0.00006447382,0.004432412,0.0001897546,0.00001080464,0.001020169,0.00060293,0.0006466037,0.0007439031,0.01497907,0.9772587,0.00003968607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01470937,0.01041329,0.006168507,0.1476995,0.004387034,0.0000955948,0.001570198,0.0005778723,0.8143786],"genre_scores_gemma":[0.366413,0.0122351,0.004603536,0.06615097,0.01004425,0.0001235243,0.001661889,0.0007557106,0.538012],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07041363,"threshold_uncertainty_score":0.2355571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172516958819502,"score_gpt":0.2243617151815842,"score_spread":0.207110019299634,"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."}}