{"id":"W3027446294","doi":"","title":"Assembling the Meaning of Probability","year":2020,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Meaning (existential); Computer science; Linguistics; Word (group theory); Psychology; Artificial intelligence; Natural language processing; Communication; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.002567352,0.00009943016,0.0005327594,0.0001187782,0.0001487166,0.00001168755,0.0006774378,0.00004749685,0.0001440778],"category_scores_gemma":[0.002473497,0.00006186755,0.0003547136,0.0007100613,0.0002328092,0.00007145358,0.000100137,0.0002426143,0.000001353444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007436857,"about_ca_system_score_gemma":0.0001625272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003304509,"about_ca_topic_score_gemma":0.0006448631,"domain_scores_codex":[0.9982376,0.0007172581,0.0004568851,0.00008930063,0.0003854329,0.0001135035],"domain_scores_gemma":[0.9949142,0.003035465,0.001251082,0.0002551618,0.000482444,0.00006162303],"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":[0.01555286,0.001786495,0.1012806,0.001646751,0.043442,0.00009342855,0.2393353,0.1323439,0.0416204,0.3865167,0.02281091,0.01357064],"study_design_scores_gemma":[0.008138756,0.001591486,0.05460921,0.0002479702,0.05768169,0.0001045126,0.128299,0.1052327,0.0009851051,0.637643,0.004447247,0.001019231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6879265,0.00004187899,0.308584,0.002205589,0.0003600224,0.0001103886,0.00001854429,0.00000909842,0.0007439927],"genre_scores_gemma":[0.9628529,0.00009631401,0.03670268,0.00003212449,0.0001827545,2.327812e-8,0.000002069514,0.000005615732,0.0001255427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2749264,"threshold_uncertainty_score":0.2961186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087663586402047,"score_gpt":0.3238043339300459,"score_spread":0.2150379752898412,"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."}}