{"id":"W6892104707","doi":"10.48660/24060008","title":"Cohort Project Presentation - \"Catching Up\": Holography","year":2024,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Presentation (obstetrics); Cohort; Holography; Phase (matter)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000274293,0.0003758656,0.00035107,0.001337687,0.00002790399,0.0001310729,0.0002823829,0.0003107559,0.001431634],"category_scores_gemma":[0.00003838852,0.0003487754,0.0002100236,0.0007650588,0.0000956892,0.0000648425,0.0001024401,0.0004362939,0.03657425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007048274,"about_ca_system_score_gemma":0.00007985063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545626,"about_ca_topic_score_gemma":0.0003964308,"domain_scores_codex":[0.998121,0.0001200408,0.0002225717,0.0007162299,0.0004733409,0.0003468654],"domain_scores_gemma":[0.999165,0.0000235263,0.0001894858,0.0005452408,0.00002502939,0.00005172865],"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":[0.000009047475,0.0000313991,0.004234712,0.0002727566,0.0004289006,0.00003625721,0.0004382515,4.082029e-7,0.0001355779,0.0002437031,0.9936759,0.0004931163],"study_design_scores_gemma":[0.0001669944,0.0000216244,0.001046935,0.0003496933,0.0003549799,0.00001255127,0.00007681336,0.00001489356,0.00003062057,0.0004524839,0.9970825,0.0003898642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002559683,0.003330398,0.00004826069,0.00004520219,0.001841984,0.00147852,0.0005353416,0.002354258,0.99011],"genre_scores_gemma":[0.003117604,0.0001131437,0.0006271569,0.00005336135,0.001107899,0.0003670986,0.0006541429,0.00332745,0.9906321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03514262,"threshold_uncertainty_score":0.9998964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700216329918288,"score_gpt":0.3283092208250031,"score_spread":0.3013070575258203,"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."}}