{"id":"W7058770800","doi":"","title":"Cicatrix","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Studio; Face (sociological concept); Digital video; Photography; AKA; Economic Justice; Period (music)","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":[0.0009259886,0.0009110108,0.0006600473,0.001220387,0.006108154,0.004997265,0.001517796,0.002367127,0.6170398],"category_scores_gemma":[0.004042873,0.000419297,0.000478601,0.001190645,0.001133362,0.00269078,0.005638729,0.003491581,0.3337266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087803,"about_ca_system_score_gemma":0.003425703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008286675,"about_ca_topic_score_gemma":0.02417431,"domain_scores_codex":[0.9987043,0.0001214356,0.00004576274,0.0002974709,0.0005857966,0.0002452885],"domain_scores_gemma":[0.9978449,0.0001348218,0.00007484439,0.0002148752,0.0007197052,0.001010849],"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":[0.00007086079,0.00003675918,0.0001929459,0.0001223523,0.000002406935,0.0003206464,0.000502781,0.00001562836,0.0003420437,0.005313452,0.9364507,0.05662955],"study_design_scores_gemma":[0.000003128803,0.00001302823,0.000231779,0.000035331,5.824042e-7,0.0001647605,0.0001877974,0.000007609494,0.00005701942,0.00020572,0.9990906,0.000002703893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003483987,0.002947256,0.0009301153,0.008901765,0.01033886,0.0002449323,0.001361576,0.0008181581,0.9709734],"genre_scores_gemma":[0.003676396,0.0006141504,0.0003762743,0.001777623,0.0003830021,0.000059971,0.0004978986,0.0002919832,0.9923227],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6170398,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004305669796052588,"score_gpt":0.1783240210121831,"score_spread":0.1740183512161305,"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."}}