{"id":"W4395456157","doi":"10.5539/apr.v16n1p209","title":"Imaging n-Dimensional Spaces Within m-Dimensional Spaces: An Extension of Hinton’s Method","year":2024,"lang":"en","type":"article","venue":"Applied Physics Research","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extension (predicate logic); Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002944983,0.0002012496,0.000256619,0.0002965769,0.0002537955,0.0004324257,0.0008704714,0.00007603707,0.00003026037],"category_scores_gemma":[0.00004202639,0.0001657758,0.00009054583,0.001568364,0.0002758808,0.000641511,0.0006415166,0.0006307855,0.0001115428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000984759,"about_ca_system_score_gemma":0.0004033624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099901,"about_ca_topic_score_gemma":0.000001245195,"domain_scores_codex":[0.9964114,0.0002701855,0.0003340206,0.0008691279,0.0016615,0.0004537009],"domain_scores_gemma":[0.9976388,0.0006000927,0.00008261803,0.0008863639,0.0006222034,0.0001698993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001959742,0.0001056479,0.000006762477,0.00005255015,0.00001621345,0.00001243464,0.0006202136,0.0001730374,0.497192,0.4425176,0.001085537,0.05819838],"study_design_scores_gemma":[0.00009955127,0.0000568566,0.00006845231,0.00007571663,0.000005132162,0.00001082653,0.0001097776,0.3441252,0.5209162,0.1332256,0.001131933,0.0001747937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01999165,0.0006610394,0.9715083,0.001998119,0.0002942064,0.0006083304,0.00001337469,0.000689279,0.004235697],"genre_scores_gemma":[0.7999495,0.00001419805,0.1992533,0.0001080251,0.0001586633,0.00005369582,0.0000206024,0.00003289461,0.0004090676],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7799579,"threshold_uncertainty_score":0.6760142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07626266577997921,"score_gpt":0.4030782589351991,"score_spread":0.3268155931552199,"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."}}