{"id":"W2949818755","doi":"10.4204/eptcs.273.3","title":"Objective and Subjective Solomonoff Probabilities in Quantum Mechanics","year":2018,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Frequentist probability; Quantum probability; Bayesian probability; Probability amplitude; Imprecise probability; Probability theory; Probability distribution; Applied probability; Subjectivism","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":[0.006166154,0.0005275616,0.0005588476,0.001836418,0.00220949,0.004442591,0.001273431,0.002401456,0.004992423],"category_scores_gemma":[0.01572919,0.0004369623,0.0008757013,0.001189046,0.01382006,0.01012371,0.003029852,0.003900051,0.0004875278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917716,"about_ca_system_score_gemma":0.001069745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008759955,"about_ca_topic_score_gemma":0.0007940434,"domain_scores_codex":[0.9961599,0.002068652,0.0001638991,0.0004150127,0.0009174065,0.0002752259],"domain_scores_gemma":[0.9916602,0.005560049,0.0006014616,0.001215135,0.0005521901,0.0004109913],"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":[0.000001415594,0.000001281032,0.00002388774,0.000003263745,6.075836e-7,0.00000479482,0.00005342444,0.0002360366,0.00001794149,0.9990335,0.00007736337,0.0005466217],"study_design_scores_gemma":[0.000001259121,0.000001812792,0.0000316217,0.000003511392,6.127431e-7,0.000007367563,0.00001564413,0.001218599,0.00002287744,0.9981799,0.0005139804,0.000002851217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09906216,0.002692014,0.6934012,0.01613736,0.0006425954,0.0001087455,0.000280168,0.0002190984,0.1874567],"genre_scores_gemma":[0.9137571,0.001042654,0.07226047,0.001186426,0.000806995,0.0001796608,0.00009912506,0.00009397555,0.01057366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006166154,"threshold_uncertainty_score":0.03261018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004709978456028789,"score_gpt":0.2348988945259817,"score_spread":0.2301889160699529,"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."}}