{"id":"W4249920615","doi":"10.31219/osf.io/gyvw8","title":"The Middle Paleolithic Ground Stones Tools of Nesher Ramla Unit V (Southern Levant): A multi-scale use-wear approach for assessing the assemblage functional variability","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Assemblage (archaeology); Stone tool; Workflow; Geography; Scale (ratio); Diversification (marketing strategy); Resource (disambiguation); Archaeology; Ecology; Cartography; Computer science; Biology; Database","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":[0.0004906637,0.0004511644,0.0003386214,0.005897075,0.0007375259,0.0009660191,0.0005697794,0.0004812014,0.001890703],"category_scores_gemma":[0.0006887742,0.0002563083,0.000481175,0.002357749,0.0007517368,0.0005016744,0.001888279,0.0002692072,0.0006167176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005423282,"about_ca_system_score_gemma":0.00042264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281312,"about_ca_topic_score_gemma":0.04398947,"domain_scores_codex":[0.9996395,0.00006314466,0.00002810929,0.000118992,0.00007111567,0.0000790344],"domain_scores_gemma":[0.9996759,0.00006730259,0.00008398819,0.00003056857,0.00009603413,0.00004619745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001466854,0.00009642613,0.9095041,0.0001580723,0.0001158855,0.001276453,0.0274272,0.0003866127,0.01459186,0.0004166576,0.000308919,0.04557117],"study_design_scores_gemma":[0.000001466796,0.00007731573,0.9868616,0.00003228776,0.00002236847,0.0002869235,0.01051247,0.000425722,0.0005146904,0.0001246607,0.001132358,0.000008131411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978577,0.0001093831,0.0004798895,0.00001169775,0.00000150536,0.0000264608,0.0003099562,0.000006783386,0.001196544],"genre_scores_gemma":[0.9961095,0.0001086193,0.002029871,0.00001216982,0.000005416432,0.00004394762,0.000837457,0.000009988294,0.0008429232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01281312,"threshold_uncertainty_score":0.02547705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.192767249487865,"score_gpt":0.3469258233211445,"score_spread":0.1541585738332795,"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."}}