{"id":"W6960909211","doi":"10.1371/journal.pone.0239480.s011","title":"Recapture locations by quarter.","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Mark and recapture; Identification (biology); Natural (archaeology); Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008736902,0.0006402599,0.0004233535,0.001160346,0.0006757166,0.0005425261,0.001187769,0.0004540626,0.1899556],"category_scores_gemma":[0.002309507,0.0005067639,0.0005216278,0.00130894,0.0002297927,0.0007105302,0.0007399709,0.001236103,0.1255307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000687102,"about_ca_system_score_gemma":0.0004839757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01984869,"about_ca_topic_score_gemma":0.04652314,"domain_scores_codex":[0.9993532,0.00006729127,0.00002900616,0.0003410791,0.000123008,0.00008640369],"domain_scores_gemma":[0.9987684,0.0001941358,0.0001578134,0.0003825286,0.0003287533,0.0001684124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002904882,0.00005650717,0.008457089,0.0002396449,0.00005643436,0.0000867823,0.0002383019,0.00127606,0.00548503,0.002684841,0.8863804,0.09474836],"study_design_scores_gemma":[0.0001105634,0.0001659758,0.1046592,0.0001281681,0.00007213815,0.0003870171,0.0004755081,0.001999893,0.007224894,0.001321375,0.8833834,0.00007188269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03823368,0.001221533,0.02990333,0.0006784828,0.002357935,0.0005608582,0.6376244,0.008488763,0.2809311],"genre_scores_gemma":[0.1463902,0.0007340699,0.03953353,0.0008938176,0.0001217284,0.0009949451,0.4299442,0.004984801,0.3764026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1899556,"threshold_uncertainty_score":0.6354648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449420494533534,"score_gpt":0.2152885854548003,"score_spread":0.1907943805094649,"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."}}