{"id":"W6950820882","doi":"10.5683/sp2/wm7a8x","title":"Head-Smashed-In Buffalo Jump -- Fort MacLeod -- Laser Scanning -- 2019","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic; University of Calgary","funders":"","keywords":"Laser scanning; Geomatics; Cliff; Scanner; Laser; Point cloud","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006883286,0.001990829,0.001154469,0.002090082,0.0008431351,0.001415143,0.002439491,0.001610196,0.01787421],"category_scores_gemma":[0.001803118,0.0005318046,0.001113165,0.003323055,0.0005693682,0.0008775941,0.001458227,0.001141586,0.03905543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017382,"about_ca_system_score_gemma":0.001796283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06359463,"about_ca_topic_score_gemma":0.177845,"domain_scores_codex":[0.9991949,0.00006476276,0.00005517751,0.0002504815,0.0002819056,0.0001527094],"domain_scores_gemma":[0.9990401,0.0001099542,0.00008421621,0.0002845148,0.0003587888,0.0001224367],"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":[0.0001779553,0.00006281832,0.004679197,0.0004888628,0.0000580382,0.00008318711,0.00008609024,0.0007560958,0.0008811001,0.0003886339,0.9843901,0.00794802],"study_design_scores_gemma":[0.0001235696,0.00003790131,0.02943562,0.0002008348,0.00004556433,0.000166466,0.0002985867,0.001364442,0.002121158,0.0008690637,0.9652596,0.00007712243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001585018,0.0001129674,0.0002392901,0.00006097211,0.00005648309,0.00001873401,0.995286,0.001170514,0.001470024],"genre_scores_gemma":[0.00146586,0.00003307292,0.0006002081,0.00002092332,0.000006015535,0.00002959683,0.9971058,0.00008627288,0.0006522592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9364054,"threshold_uncertainty_score":0.1264489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377110941814872,"score_gpt":0.297076576822378,"score_spread":0.2733054674042293,"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."}}