{"id":"W2434920878","doi":"10.1016/j.jhevol.2016.05.006","title":"Cutmark data and their implications for the planning depth of Late Pleistocene societies","year":2016,"lang":"en","type":"article","venue":"Journal of Human Evolution","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Ministère de l'Enseignement Supérieur et de la Recherche","keywords":"Upper Paleolithic; Pleistocene; Stone tool; Middle Paleolithic; Last Glacial Maximum; Humerus; Geography; Paleontology; Symphysis; Archaeology; Geology; Glacial period","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":[0.007569718,0.0003448836,0.0004128709,0.005387794,0.001557246,0.005073009,0.001715949,0.001052139,0.01656077],"category_scores_gemma":[0.08579831,0.000452143,0.0002226411,0.008007997,0.002020649,0.007283331,0.002692137,0.001456897,0.000910347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881822,"about_ca_system_score_gemma":0.002923208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02311489,"about_ca_topic_score_gemma":0.04696511,"domain_scores_codex":[0.9974783,0.001254818,0.0003436083,0.0002691142,0.0005138785,0.0001401561],"domain_scores_gemma":[0.9335756,0.04568033,0.005553729,0.006510486,0.007743511,0.0009363096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008267477,0.0001603298,0.3656259,0.0007423105,0.0002522908,0.0003513612,0.01511661,0.02248478,0.001465902,0.3270976,0.01322472,0.2526514],"study_design_scores_gemma":[0.0001290397,0.0001361295,0.2510788,0.00146308,0.0002531028,0.000452031,0.02563424,0.03777822,0.005344455,0.5658054,0.1117683,0.0001571533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.762742,0.00351347,0.08863878,0.008458071,0.0003264275,0.0002032435,0.04031431,0.0003261325,0.0954775],"genre_scores_gemma":[0.9598058,0.000534181,0.03224337,0.0001914241,0.00004876181,0.0001083534,0.0044667,0.00007587997,0.002525577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02311489,"threshold_uncertainty_score":0.05540127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08124921691458868,"score_gpt":0.3568312964643272,"score_spread":0.2755820795497385,"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."}}