{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009151388,0.0001210762,0.0001986139,0.00009212372,0.00001524198,0.00001045778,0.0001499167,0.0001038442,0.0001052746],"category_scores_gemma":[0.0002777036,0.0001009325,0.00004858187,0.0003811776,0.0000588267,0.00008035928,0.00007389143,0.0001654016,0.000002797442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004780083,"about_ca_system_score_gemma":0.00002979885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009084824,"about_ca_topic_score_gemma":0.0004014372,"domain_scores_codex":[0.9992078,0.00001598319,0.0002214527,0.0002320609,0.0001762081,0.0001464825],"domain_scores_gemma":[0.999325,0.0001475994,0.00008450618,0.0002958979,0.00007260987,0.0000743751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000176988,0.0001101332,0.9893957,0.0002938286,0.00005116182,0.00001302455,0.001376736,0.00003543929,0.004226825,0.00001401474,0.001056437,0.00324968],"study_design_scores_gemma":[0.004863094,0.0006749882,0.313979,0.0009367425,0.0003310516,0.0001070836,0.005276352,0.0002018298,0.6634522,0.003074268,0.005490557,0.001612805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988435,0.005756252,0.000001754735,0.0002868267,0.00005045742,0.00004681488,8.088718e-7,0.00004688813,0.005375165],"genre_scores_gemma":[0.998547,0.00002667045,0.0003222242,0.00002878646,0.00005903337,0.000004916287,0.000002551013,0.00001144858,0.0009974398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6754167,"threshold_uncertainty_score":0.4115906,"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."}}