{"id":"W4367159227","doi":"10.7202/1078250ar","title":"Archaeological Analysis and Concepts of Causality","year":2021,"lang":"en","type":"article","venue":"Culture","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Yale University","keywords":"Prehistory; Causality (physics); Constraint (computer-aided design); Explanatory power; Set (abstract data type); Degree (music); Epistemology; Archaeology; Archaeological theory; History; Computer science; Mathematics; Philosophy; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004487595,0.00004086136,0.0001162842,0.000008306991,0.00005073214,0.000001203591,0.00003129778,0.00003652876,0.001933835],"category_scores_gemma":[0.00001895947,0.00002657897,0.00003721165,0.0001331448,0.0005181521,0.00002182522,0.00002776624,0.00005016532,0.00001733921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":5.024004e-7,"about_ca_system_score_gemma":0.000002836626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005844143,"about_ca_topic_score_gemma":0.0007223377,"domain_scores_codex":[0.9996472,0.00003936131,0.00006054544,0.0001181925,0.00005727775,0.00007742066],"domain_scores_gemma":[0.9998643,0.00002609358,0.00002067543,0.00004814701,0.000007936635,0.00003285749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000324933,0.000004932888,0.9971899,0.000003266918,0.00007025641,0.00001214072,0.001043801,0.00005753221,0.00005761826,0.0001295096,0.00005422334,0.001373593],"study_design_scores_gemma":[0.00005123191,0.00002241753,0.9955034,0.000001165508,0.00005350103,0.000005133581,0.0006799496,0.00005013672,0.0005197639,0.0010001,0.002078055,0.00003518954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914884,0.00354398,0.0001534368,0.0002480306,0.00002310285,0.0000163184,0.00004032371,0.000003887187,0.004482545],"genre_scores_gemma":[0.9976053,0.0004021866,0.0007581705,0.0001360608,0.00001130591,7.533201e-8,0.00005360223,2.161512e-7,0.001033077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006116929,"threshold_uncertainty_score":0.9989786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299972104190847,"score_gpt":0.239896710694762,"score_spread":0.2268969896528535,"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."}}