{"id":"W4411716789","doi":"10.32920/29425682.v1","title":"Deep Agreements","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research","funders":"","keywords":"Business","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001290758,0.0001164633,0.0002039311,0.0001730063,0.00008610162,0.0002059262,0.001623199,0.0001270257,0.00669586],"category_scores_gemma":[0.0005765439,0.00008142001,0.0001331854,0.0003010439,0.00005068964,0.00003404514,0.001629043,0.0002280102,0.003648961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001695399,"about_ca_system_score_gemma":0.00007797069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001725491,"about_ca_topic_score_gemma":0.00003586475,"domain_scores_codex":[0.9982184,0.000108719,0.0004269335,0.0005236831,0.0005994517,0.0001228255],"domain_scores_gemma":[0.997662,0.0005891687,0.0001422738,0.001360507,0.0001886874,0.00005734876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000958125,0.0001211079,0.001334617,0.00001251649,0.00004904293,0.000001477495,0.0004339044,0.002954465,0.00003456097,0.6545986,0.08897851,0.2514716],"study_design_scores_gemma":[0.00004590087,0.000002544884,0.001098557,0.00001025798,0.000009368208,1.995871e-7,0.0001722742,0.002376328,0.000187021,0.9010871,0.09491923,0.00009123484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006055057,0.00005897353,0.2378543,0.001653091,0.0005258761,0.0002572107,0.0000249213,0.00006715881,0.7535034],"genre_scores_gemma":[0.5836197,0.00001300077,0.006900051,0.001110841,0.0000887983,0.0001074689,0.00001725089,0.000003742655,0.4081391],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5775647,"threshold_uncertainty_score":0.9971268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1804606925136777,"score_gpt":0.4657263154414245,"score_spread":0.2852656229277468,"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."}}