{"id":"W4414048457","doi":"10.31234/osf.io/jtnad_v1","title":"Compression and Decompression in Cognition","year":2025,"lang":"en","type":"article","venue":"","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Decompression; Compression (physics); Cognition; Context (archaeology); Decompression sickness; Data compression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136408,0.0004091234,0.0003401758,0.001053109,0.000495373,0.002358831,0.0004752924,0.0008269685,0.004094044],"category_scores_gemma":[0.007830449,0.0002064632,0.0003351015,0.0007033214,0.006049113,0.005862625,0.001698745,0.001301006,0.0003351143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009518498,"about_ca_system_score_gemma":0.0006346899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009848755,"about_ca_topic_score_gemma":0.0006130534,"domain_scores_codex":[0.9989367,0.0003717578,0.00007388645,0.0001925881,0.0003448904,0.00008021668],"domain_scores_gemma":[0.9964664,0.002255701,0.0003195974,0.0005710212,0.0002818896,0.0001053912],"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":[0.0006800366,0.00005448769,0.002413845,0.0004992521,0.0000580393,0.0001981643,0.00155684,0.01271326,0.02817287,0.7452722,0.001637773,0.2067433],"study_design_scores_gemma":[0.00005949314,0.0002330882,0.005642698,0.00009875383,0.00003761267,0.000399486,0.0005926072,0.02142112,0.01451766,0.9489152,0.008034922,0.00004724832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4074906,0.009300363,0.4601117,0.01036021,0.0004540602,0.0001782066,0.0004378902,0.00100294,0.110664],"genre_scores_gemma":[0.9525371,0.001316323,0.04240625,0.0004657178,0.0001800209,0.00006019928,0.0001268988,0.00008896716,0.002818655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004094044,"threshold_uncertainty_score":0.0136959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00982189936560307,"score_gpt":0.2716766228526874,"score_spread":0.2618547234870843,"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."}}