{"id":"W7040014199","doi":"","title":"The normal distribution is freely selfdecomposable","year":2017,"lang":"en","type":"article","venue":"","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"","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":[0.01014748,0.001548673,0.002157788,0.002852397,0.001376336,0.006968988,0.002845999,0.002196557,0.01162965],"category_scores_gemma":[0.07325055,0.001519644,0.001814795,0.002556086,0.01116794,0.01163554,0.005846609,0.007377825,0.006073615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945105,"about_ca_system_score_gemma":0.002487908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796778,"about_ca_topic_score_gemma":0.0008826001,"domain_scores_codex":[0.9908354,0.003285526,0.0005470234,0.002208385,0.002342589,0.000781089],"domain_scores_gemma":[0.9409113,0.04188227,0.003329658,0.007764875,0.005183267,0.0009287],"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":[0.00008133363,0.00002585079,0.0005534617,0.00007174239,0.0000317314,0.000194532,0.0002188959,0.005057072,0.0006129269,0.9662598,0.002088167,0.02480452],"study_design_scores_gemma":[0.00001855241,0.00001852604,0.0002563968,0.00002874984,0.000009195293,0.0002984686,0.00004411069,0.02425415,0.0007656303,0.971334,0.002941427,0.00003062915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02230282,0.0005709941,0.9572495,0.002293131,0.0002284494,0.00008120786,0.0003762768,0.0008976703,0.016],"genre_scores_gemma":[0.7009951,0.002637977,0.2202386,0.00135164,0.001140154,0.0009145406,0.001484865,0.001299961,0.06993705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01162965,"threshold_uncertainty_score":0.05366564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679939245822319,"score_gpt":0.3063435829360993,"score_spread":0.2795441904778761,"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."}}