{"id":"W7100500457","doi":"","title":"IMPLEMENTING GEOMATICS TECHNOLOGY FOR AGGREGATE EXPLORATION, NORTHEAST BRITISH COLUMBIA","year":2015,"lang":"en","type":"article","venue":"","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geomatics; Photogrammetry; Orthophoto; Global Positioning System; Aggregate (composite); Mobile device; Digital mapping; Geographic information system; Data collection","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":[0.000513308,0.0002320377,0.0001114072,0.001222209,0.001860899,0.001878151,0.0005405608,0.0002335383,0.007594292],"category_scores_gemma":[0.001073576,0.0002242726,0.0001072661,0.003265257,0.0004966129,0.0005332451,0.0009569082,0.0003287149,0.001074277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008903141,"about_ca_system_score_gemma":0.01799884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9278899,"about_ca_topic_score_gemma":0.9685867,"domain_scores_codex":[0.9996057,0.00003218945,0.00001553263,0.00004880444,0.0002406504,0.00005708686],"domain_scores_gemma":[0.9991966,0.00007478783,0.0000264821,0.00007359845,0.0005381274,0.00009040633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002110573,0.0001515976,0.09305733,0.0002948259,0.00003500207,0.0008868384,0.005063052,0.0107165,0.03454246,0.009888017,0.0738078,0.7713456],"study_design_scores_gemma":[0.00007947941,0.000140102,0.2569605,0.0002444618,0.00004477083,0.000355838,0.007868756,0.02861474,0.01700843,0.002756918,0.6858223,0.0001037251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5313947,0.002019997,0.1015492,0.004666547,0.0001771019,0.001360726,0.01596939,0.008278846,0.3345836],"genre_scores_gemma":[0.7011332,0.002701712,0.1428321,0.0003601067,0.00002190594,0.0005351036,0.007314201,0.0005327978,0.1445689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07211012,"threshold_uncertainty_score":0.1450695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04345464245988604,"score_gpt":0.251516941131507,"score_spread":0.208062298671621,"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."}}