{"id":"W7050406381","doi":"","title":"Virtual Water","year":2013,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual water; Production (economics); Water resources; Work (physics); Water scarcity; Water use; Agriculture; Competition (biology); Water conservation; Farm water","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":[0.0006281158,0.0005463059,0.0003041165,0.0008235011,0.001770141,0.004726516,0.001359672,0.001517874,0.2775693],"category_scores_gemma":[0.003358567,0.0002587595,0.0003737817,0.001160263,0.001079064,0.008511915,0.006975627,0.001222831,0.0716942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009700154,"about_ca_system_score_gemma":0.001513151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002474976,"about_ca_topic_score_gemma":0.004151999,"domain_scores_codex":[0.9993857,0.0001290039,0.00002688456,0.00009542599,0.0002575492,0.0001053472],"domain_scores_gemma":[0.9989616,0.0001593262,0.00005536569,0.0002494296,0.0002443438,0.0003299333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006610282,0.00004465814,0.0006488388,0.0002624322,0.00001134172,0.0001591389,0.0005743647,0.0006601673,0.001060138,0.108394,0.6549747,0.2331441],"study_design_scores_gemma":[0.000003987974,0.000007410232,0.0001271201,0.00003470615,0.000002148521,0.00004614536,0.000159072,0.0002198604,0.0001813721,0.00806166,0.9911503,0.000006278573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003209181,0.001508851,0.01820834,0.009596058,0.002467664,0.0001063303,0.001897293,0.004498493,0.9585079],"genre_scores_gemma":[0.1151843,0.005390878,0.02317336,0.005244333,0.001430281,0.0003050993,0.005424818,0.002332268,0.8415147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2775693,"threshold_uncertainty_score":0.9285618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006570930269506092,"score_gpt":0.1691255525208254,"score_spread":0.1625546222513193,"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."}}