{"id":"W2495021195","doi":"10.17658/issn.2058-5462/issue-03/sstarling","title":"The Geography of Making or On Finding Moore Everywhere","year":2016,"lang":"en","type":"article","venue":"British Art Studies","topic":"Art, Politics, and Modernism","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Work (physics); Geography; Sociology; Economic geography; Engineering; Archaeology","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":[0.0007280667,0.0002536713,0.000250349,0.001040878,0.009391521,0.009681315,0.0006059437,0.002096423,0.01467356],"category_scores_gemma":[0.001849635,0.000264851,0.0001875578,0.001791253,0.03127007,0.005627591,0.004533538,0.002152569,0.001140789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008388839,"about_ca_system_score_gemma":0.005201166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06362884,"about_ca_topic_score_gemma":0.1084354,"domain_scores_codex":[0.9983518,0.0007649162,0.00002683539,0.0001759123,0.0002921165,0.0003885839],"domain_scores_gemma":[0.9992762,0.0002416781,0.00008926446,0.0001079261,0.00009506213,0.0001899382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001184112,0.000004625547,0.0004683475,0.00002677045,0.000002483077,0.00009922127,0.0201791,0.0001118242,0.0001115549,0.9554512,0.01753262,0.006000447],"study_design_scores_gemma":[0.000005039498,0.000009418291,0.002348288,0.0001267389,0.000004098443,0.000173945,0.03956403,0.00008504535,0.0001542562,0.1237599,0.8337547,0.00001442488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03147028,0.00292654,0.001928526,0.02308308,0.0002246627,0.00001290543,0.00009584145,0.00003839426,0.9402198],"genre_scores_gemma":[0.8983099,0.002793387,0.0009708267,0.00221348,0.0002190234,0.00003247408,0.00007524437,0.0001315898,0.09525408],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06362884,"threshold_uncertainty_score":0.126517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102993188715357,"score_gpt":0.3060365883550584,"score_spread":0.2030433996397013,"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."}}