{"id":"W4383217740","doi":"10.21203/rs.3.rs-3083727/v1","title":"What species is it really? A comparison of morphological and collagen fingerprinting (ZooMS) methods using a double-blind protocol","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Social Sciences and Humanities Research Council of Canada; Université de Bordeaux; Région Occitanie Pyrénées-Méditerranée; National Science Foundation","keywords":"Taphonomy; Artifact (error); Zooarchaeology; Species identification; Evolutionary biology; Identification (biology); Fragmentation (computing); Range (aeronautics); Biology; Archaeology; Geography; Ecology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009949877,0.0008099569,0.0007795321,0.001512053,0.001194088,0.000942251,0.0005115306,0.001063956,0.003318567],"category_scores_gemma":[0.01239327,0.0006185754,0.0003273374,0.001089301,0.002209615,0.0006369262,0.001359028,0.0007507249,0.0007717046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428869,"about_ca_system_score_gemma":0.000795562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005687588,"about_ca_topic_score_gemma":0.001640545,"domain_scores_codex":[0.9899511,0.003545733,0.001217042,0.003456244,0.001382975,0.0004468795],"domain_scores_gemma":[0.9824986,0.005912166,0.003627404,0.004069534,0.003293685,0.0005985342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007862102,0.0007836,0.01732357,0.0008705247,0.0001517153,0.0001384134,0.001327532,0.0001762295,0.9184851,0.001276751,0.0006173551,0.05098705],"study_design_scores_gemma":[0.000424293,0.00559379,0.2089866,0.0002285042,0.0003711538,0.0009386538,0.001817592,0.005675118,0.759232,0.003783555,0.01268642,0.0002623484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7553939,0.001014691,0.2337334,0.0002360418,0.0004757382,0.00396845,0.001383923,0.0004888201,0.003304991],"genre_scores_gemma":[0.545678,0.0008786945,0.4298198,0.0005114657,0.0001535224,0.01479267,0.001129044,0.0003144903,0.006722461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009949877,"threshold_uncertainty_score":0.05262059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5554006361921523,"score_gpt":0.6015577662274065,"score_spread":0.04615713003525423,"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."}}