{"id":"W7099954125","doi":"","title":"ARCTIC Prehistoric Sources of Chert in Northern Labrador: Field Work and Preliminary Analyses","year":2015,"lang":"en","type":"article","venue":"","topic":"Chromatography in Natural Products","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prehistory; Petrography; Outcrop; Arctic; Plucking; Section (typography); Thin section","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":[0.0006948076,0.0004539627,0.0004456736,0.003004209,0.00234924,0.000731432,0.0007798006,0.0003691847,0.001325808],"category_scores_gemma":[0.0004683837,0.0003708305,0.0003081441,0.002772186,0.0007877515,0.0002718203,0.0006369438,0.0002976441,0.0005886867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226281,"about_ca_system_score_gemma":0.001427276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2673657,"about_ca_topic_score_gemma":0.4961592,"domain_scores_codex":[0.9994429,0.0001040628,0.00003530991,0.0001168498,0.0001377733,0.0001631526],"domain_scores_gemma":[0.999436,0.00006308089,0.0001090831,0.00004436864,0.0002738442,0.00007368815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001901841,0.0005233052,0.7938773,0.0003403264,0.0001122003,0.004112862,0.02076402,0.0005402252,0.1182697,0.0002854982,0.0007217749,0.05855088],"study_design_scores_gemma":[0.00001358962,0.0002517685,0.9826349,0.00002033754,0.00003261387,0.0005365927,0.005637364,0.0002043686,0.007110387,0.00001882169,0.003526516,0.0000127131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969971,0.0001770609,0.000176989,0.0000203009,0.000001752,0.00003827995,0.0004842772,0.0000161669,0.002088031],"genre_scores_gemma":[0.9948802,0.0002712317,0.001348951,0.00004849306,0.00000975687,0.00004292667,0.001353,0.00001725058,0.002028274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7326343,"threshold_uncertainty_score":0.531619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250318450091314,"score_gpt":0.2738934754144485,"score_spread":0.2413902909135354,"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."}}