{"id":"W7024176244","doi":"","title":"re:mote regina :: tom mulcaire","year":2005,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Presentation (obstetrics); The arts; Cape; Performance art; Work (physics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004151808,0.001260334,0.0004381206,0.0007199466,0.002157843,0.003381512,0.0007480583,0.001479184,0.7404896],"category_scores_gemma":[0.001289551,0.000402096,0.0003053419,0.0005630422,0.0004018956,0.002516372,0.002893667,0.001560516,0.435203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022042,"about_ca_system_score_gemma":0.0008763173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007670298,"about_ca_topic_score_gemma":0.0217613,"domain_scores_codex":[0.9997275,0.00002876064,0.000006876456,0.00006645561,0.00009933948,0.00007091772],"domain_scores_gemma":[0.9995763,0.00003524874,0.00003038306,0.00003690117,0.0001388592,0.0001823996],"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":[0.00001906592,0.000009936285,0.00006292617,0.00006785473,0.000001112029,0.00008936714,0.0001289675,0.00001431708,0.0003646798,0.0007113105,0.9738709,0.0246596],"study_design_scores_gemma":[0.000001612594,0.000003587813,0.000134223,0.00002813067,4.986326e-7,0.00005232172,0.00009464044,0.000006542283,0.00007098645,0.00005189168,0.9995539,0.000001807489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001606887,0.008858369,0.0006119385,0.01230503,0.009823604,0.0001470478,0.001607898,0.00150501,0.9635342],"genre_scores_gemma":[0.002719909,0.001080338,0.0001507814,0.0005136197,0.0003604545,0.00002232361,0.0002003981,0.0003498459,0.9946023],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2595104,"threshold_uncertainty_score":0.37016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005500095398873426,"score_gpt":0.2017011791838166,"score_spread":0.1962010837849432,"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."}}