{"id":"W4292516682","doi":"","title":"A thousand year of lost hunting arrows. Wood analysis of ice patch remains in Northwestern Canada","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Geography; Physical geography","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":[0.0002464764,0.0001571859,0.0001900879,0.002104425,0.001688415,0.0008972419,0.0007618709,0.0002638663,0.004731334],"category_scores_gemma":[0.001149218,0.0001274099,0.0003038731,0.003752665,0.000487366,0.0002430008,0.0003930838,0.0002676821,0.0004540984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008785153,"about_ca_system_score_gemma":0.008643365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909735,"about_ca_topic_score_gemma":0.9969118,"domain_scores_codex":[0.9998036,0.000007587842,0.000009362374,0.00003573112,0.00007163114,0.00007206837],"domain_scores_gemma":[0.9987805,0.00009669992,0.000160953,0.0000648104,0.0006445011,0.0002524249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001433933,0.00001902889,0.9717411,0.00005644983,0.0001012625,0.0002251978,0.001127525,0.001235265,0.0005990643,0.0004884308,0.005448813,0.01881457],"study_design_scores_gemma":[0.000001290628,0.00000577419,0.9945792,0.00001636274,0.00001840642,0.00004727768,0.001383461,0.0004370415,0.00008061446,0.00005522231,0.003369411,0.000005836196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768623,0.0005861811,0.0002134245,0.0001346284,0.000014933,0.00001395812,0.01850631,0.0000208385,0.003647391],"genre_scores_gemma":[0.9798056,0.000438481,0.0003213148,0.00003407367,0.00000538461,0.000008782111,0.01080595,0.0000169775,0.00856345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009026468,"threshold_uncertainty_score":0.06374109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384711960183111,"score_gpt":0.1958787651402366,"score_spread":0.1820316455384055,"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."}}