{"id":"W7059507096","doi":"","title":"Magnet 103337","year":2011,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Petroleum; Subsidy; Foundation (evidence); Work (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004001303,0.0007268937,0.0002399782,0.001449604,0.001775402,0.001965241,0.0008131693,0.00122125,0.570636],"category_scores_gemma":[0.0006620624,0.000330727,0.0002920186,0.001163169,0.0003849978,0.001469045,0.001316946,0.0008586821,0.3670786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214716,"about_ca_system_score_gemma":0.001072697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004456217,"about_ca_topic_score_gemma":0.01696022,"domain_scores_codex":[0.9996802,0.00003059909,0.00001037138,0.00007228895,0.0001478932,0.00005875572],"domain_scores_gemma":[0.9996667,0.00002531857,0.00001822108,0.00004893386,0.0001369368,0.0001038987],"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":[0.0001352175,0.00006778722,0.0006732044,0.0001003146,0.00000394271,0.0001420949,0.00007900716,0.00009104403,0.001836113,0.008633632,0.8725728,0.1156648],"study_design_scores_gemma":[0.00001057558,0.00002311005,0.00084237,0.00001874104,0.000002282186,0.0001672979,0.0000357955,0.0001054741,0.0006749475,0.0004330826,0.9976811,0.000005083945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001308105,0.0001424846,0.001031074,0.0003920976,0.000278158,0.00004328807,0.001944987,0.001372414,0.9934874],"genre_scores_gemma":[0.00725934,0.000177015,0.0007473804,0.0002976803,0.00008380291,0.00003045015,0.002299814,0.0003973697,0.9887072],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.570636,"threshold_uncertainty_score":0.6124357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006305144796213035,"score_gpt":0.1745218192761813,"score_spread":0.1682166744799682,"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."}}