{"id":"W4293221643","doi":"10.12968/s0026-0657(22)70003-3","title":"Interview: Equispheres","year":2022,"lang":"en","type":"article","venue":"Metal Powder Report","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Scale (ratio); Production (economics); Materials science; Geography; Economics; Cartography; Microeconomics","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":[0.002554713,0.0004198474,0.0005976133,0.0004282597,0.009466598,0.001657417,0.0006872451,0.007092677,0.04660154],"category_scores_gemma":[0.01096687,0.0004027865,0.0003448141,0.0005303546,0.001677172,0.003344687,0.002459115,0.01041748,0.009054319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003845999,"about_ca_system_score_gemma":0.005424504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04163324,"about_ca_topic_score_gemma":0.0463153,"domain_scores_codex":[0.9984049,0.0004314558,0.00007287411,0.000195724,0.0003240065,0.0005711372],"domain_scores_gemma":[0.9962171,0.0008687496,0.0001410586,0.0001071365,0.001367666,0.00129834],"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":[0.00004743461,0.00006235952,0.001916357,0.00005478257,0.000003896292,0.0009509957,0.01007855,0.00001740453,0.0002727856,0.001631371,0.9751905,0.009773499],"study_design_scores_gemma":[0.00001691891,0.00006911054,0.002743739,0.0001284002,0.000006730007,0.001818203,0.05720299,0.00009423077,0.0003315873,0.0007365213,0.9368107,0.00004082312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03360793,0.003036962,0.0008387707,0.8948314,0.01097184,0.0001831175,0.0009547879,0.0001549807,0.05542012],"genre_scores_gemma":[0.0875375,0.001842027,0.0005906649,0.7721549,0.001557832,0.000329632,0.0002483776,0.00013057,0.1356085],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04660154,"threshold_uncertainty_score":0.1558977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547963324311815,"score_gpt":0.2376769091333756,"score_spread":0.2121972758902574,"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."}}