{"id":"W2894178851","doi":"10.22331/q-2020-07-20-301","title":"Law without law: from observer states to physics via algorithmic information theory","year":2020,"lang":"en","type":"article","venue":"Quantum","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Observer (physics); Physical law; Probabilistic logic; Perspective (graphical); Physical system; Point (geometry); Information theory; State (computer science)","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":[0.00638563,0.0007500126,0.001138483,0.001962923,0.001717093,0.006955734,0.002234465,0.002814755,0.004967527],"category_scores_gemma":[0.02256914,0.0007174299,0.001969174,0.001290138,0.01279423,0.01653833,0.004959691,0.005813469,0.0008706042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002514024,"about_ca_system_score_gemma":0.002550194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001805824,"about_ca_topic_score_gemma":0.001099604,"domain_scores_codex":[0.9949561,0.002387878,0.0002333354,0.0008240435,0.001242033,0.000356606],"domain_scores_gemma":[0.9877623,0.008456411,0.0006281817,0.002103587,0.0006968979,0.0003526323],"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":[0.000003755271,0.000005060406,0.00006117906,0.00001671371,0.000004306827,0.00002095871,0.0001085976,0.001367257,0.00004963071,0.9965608,0.0002947641,0.001506979],"study_design_scores_gemma":[0.000004264494,0.000004224461,0.00002605982,0.000009703634,0.000002680809,0.00001143575,0.000013425,0.009377119,0.00004920473,0.9893867,0.001110031,0.000005152376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01745993,0.001481186,0.9222807,0.006868314,0.0002759615,0.0001056138,0.0002239884,0.0003926067,0.05091182],"genre_scores_gemma":[0.7285886,0.002538128,0.2533298,0.002151119,0.001049255,0.0004243754,0.0004713414,0.0003724234,0.01107492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006955734,"threshold_uncertainty_score":0.0337708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357027136651258,"score_gpt":0.2376864589492625,"score_spread":0.2141161875827499,"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."}}