{"id":"W30508663","doi":"10.1080/01977261.2007.11721043","title":"Digital Image Analysis and Use-Wear Accrual as a Function of Raw Material: An Example from Northwestern New Mexico","year":2007,"lang":"en","type":"article","venue":"Lithic Technology","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Accrual; Raw material; Digital image analysis; Term (time); Forensic engineering; Archaeology; Geography; Computer science; Engineering; Business; Accounting; Ecology; Biology; Computer vision","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":[0.0002568364,0.0001236617,0.0000995851,0.001889714,0.0005024265,0.0004102919,0.0001764008,0.0001851406,0.001264901],"category_scores_gemma":[0.0006807136,0.00007672762,0.00009762981,0.001784324,0.0002483582,0.0001805671,0.0002967808,0.0001348384,0.0001029478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005695791,"about_ca_system_score_gemma":0.0002200415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1133487,"about_ca_topic_score_gemma":0.3882971,"domain_scores_codex":[0.9999315,0.00001078839,0.000004767744,0.00001494073,0.00002537294,0.00001267777],"domain_scores_gemma":[0.9995709,0.0001094861,0.00008943549,0.00003435644,0.0001827542,0.0000129468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002501717,0.0001117238,0.8811316,0.0001053852,0.00006496907,0.001073258,0.00505132,0.0007372404,0.02126707,0.0003347474,0.0007621383,0.08911038],"study_design_scores_gemma":[0.000001249932,0.00001258727,0.9957208,0.000005789038,0.00001251593,0.0001963732,0.001223165,0.0004468843,0.001071109,0.00002028296,0.001285759,0.000003434396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973236,0.00009116587,0.0003329161,0.00004403103,0.000001180342,0.000009286166,0.00032889,0.000008211833,0.001860601],"genre_scores_gemma":[0.9951571,0.000198933,0.003083559,0.000007213596,0.000002864288,0.00001064885,0.0002780914,0.000006326486,0.001255279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133487,"threshold_uncertainty_score":0.2253779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063481973174527,"score_gpt":0.2763103573057629,"score_spread":0.2556755375740176,"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."}}