{"id":"W3036418477","doi":"10.7939/r3-mrdq-bf26","title":"Above, Beneath, and Within: Collaborative and Community-Driven Archaeological Remote Sensing Research in Canada","year":2020,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Remote sensing; 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":[0.006795034,0.0006434866,0.000872331,0.004011509,0.02729241,0.008364195,0.003031753,0.00116852,0.003262219],"category_scores_gemma":[0.008614961,0.0006519597,0.0004875194,0.009765954,0.0106265,0.002399113,0.006977613,0.002183726,0.0002529074],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1572054,"about_ca_system_score_gemma":0.3216396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960191,"about_ca_topic_score_gemma":0.998569,"domain_scores_codex":[0.9927287,0.001582748,0.0002110518,0.0008991781,0.002467153,0.002111165],"domain_scores_gemma":[0.9920408,0.002338546,0.0004673516,0.0004043893,0.003142752,0.001606144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001846503,0.0001609167,0.05049933,0.0007734898,0.00006671069,0.001661502,0.8042581,0.001145285,0.002030426,0.02337584,0.006855246,0.1089885],"study_design_scores_gemma":[0.00002277522,0.00008704759,0.07961868,0.0005640488,0.00006355735,0.0002302559,0.8350795,0.001219511,0.001061136,0.002583072,0.0793561,0.0001143207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344777,0.003701695,0.004970414,0.007447395,0.0001215723,0.0005506253,0.0007668311,0.000101058,0.04786278],"genre_scores_gemma":[0.9803343,0.001996977,0.006252778,0.0005924177,0.00001216465,0.0001373365,0.0002218773,0.00004695806,0.0104052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1572054,"threshold_uncertainty_score":0.9775223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542747559864497,"score_gpt":0.1884429467773485,"score_spread":0.1630154711787035,"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."}}