{"id":"W7098225483","doi":"","title":"The Canada-France Pipeline-Ground Freezing study is","year":2015,"lang":"en","type":"article","venue":"","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrical conduit; Lens (geology); Perpendicular; Displacement (psychology); Compression (physics)","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":[0.000159836,0.0002714749,0.0001914224,0.0007717612,0.00193984,0.000496799,0.0002774487,0.0002675695,0.005780397],"category_scores_gemma":[0.0001730955,0.00009316263,0.0002635138,0.001103265,0.0003144248,0.0001944179,0.0002511616,0.0003530562,0.0008459747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009858897,"about_ca_system_score_gemma":0.006531943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9339676,"about_ca_topic_score_gemma":0.9732696,"domain_scores_codex":[0.9997918,0.00001344114,0.00000368098,0.00003934806,0.00007995511,0.00007176349],"domain_scores_gemma":[0.9997008,0.00001184716,0.00002236773,0.00001568694,0.0001887598,0.00006051313],"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":[0.001681089,0.00135372,0.7220824,0.0002882726,0.000240701,0.005214616,0.006912769,0.006247817,0.07192486,0.007564839,0.05617145,0.1203174],"study_design_scores_gemma":[0.00003873969,0.0003752451,0.9204649,0.00002631678,0.00002057905,0.0002700756,0.003480503,0.0008399029,0.004507394,0.0001472535,0.06980449,0.00002468087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487647,0.0002732975,0.000506577,0.000345159,0.00003264496,0.0001385229,0.007595468,0.00007745303,0.04226602],"genre_scores_gemma":[0.9454797,0.0002698449,0.0009042868,0.0001524634,0.000009563158,0.0000451389,0.005601794,0.00003784485,0.04749937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06603235,"threshold_uncertainty_score":0.1328424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600123348389671,"score_gpt":0.1948939120941344,"score_spread":0.1588926786102376,"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."}}