{"id":"W2035904979","doi":"10.1177/120633120000300404","title":"Postcards from Algoma Steel Incorporated","year":2000,"lang":"en","type":"article","venue":"Space and Culture","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; World Wide Web; Engineering","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":[0.001088548,0.000841436,0.0006597256,0.001397458,0.001268276,0.001944916,0.0006405559,0.001094121,0.5598668],"category_scores_gemma":[0.005796769,0.0002595504,0.000200952,0.0009629531,0.0003208781,0.001430565,0.001079427,0.001097812,0.2511002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007818,"about_ca_system_score_gemma":0.0009660094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002328097,"about_ca_topic_score_gemma":0.007248198,"domain_scores_codex":[0.9990054,0.0001020551,0.00006306718,0.00007206593,0.0006401546,0.0001172358],"domain_scores_gemma":[0.9949109,0.0008080536,0.0002095183,0.0003111108,0.003024107,0.000736209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008493585,0.0000245738,0.00007674603,0.00004738478,6.604202e-7,0.00002981091,0.00002389665,0.00002370189,0.0005606047,0.0006925027,0.9624862,0.03594901],"study_design_scores_gemma":[0.00002428656,0.00006602174,0.001438884,0.00002931622,0.000001546732,0.0000390844,0.00009097411,0.0001227347,0.0003790724,0.0005526619,0.9972495,0.000005818232],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007707566,0.00153384,0.004663051,0.02296206,0.03220074,0.0007218608,0.007742785,0.003230134,0.919238],"genre_scores_gemma":[0.005508568,0.0003243927,0.0008775668,0.001611919,0.00205352,0.00007852438,0.001844644,0.0004173066,0.9872836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5598668,"threshold_uncertainty_score":0.6277966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006932904560049235,"score_gpt":0.1982677695487343,"score_spread":0.1913348649886851,"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."}}