{"id":"W7011940924","doi":"","title":"Nazava Water Filters: Social Impact Assessment","year":2016,"lang":"en","type":"article","venue":"Scholar Commons (Santa Clara University)","topic":"Environmental Science and Technology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Qualitative property; CLARITY; Qualitative research; Data collection; General Social Survey; Quarter (Canadian coin); Social impact; Quantitative assessment; Survey 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":[0.005994232,0.0007485107,0.0004477047,0.005985883,0.001171719,0.002090803,0.0008135984,0.0006202231,0.006860292],"category_scores_gemma":[0.01142042,0.000236469,0.001587093,0.006357483,0.0007971833,0.002139323,0.002544738,0.001179531,0.0007632905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003846613,"about_ca_system_score_gemma":0.002431882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009176118,"about_ca_topic_score_gemma":0.01432962,"domain_scores_codex":[0.9956641,0.001648608,0.0003344838,0.0001554615,0.001832273,0.0003651319],"domain_scores_gemma":[0.9922547,0.003512953,0.001192068,0.0003087945,0.002213316,0.0005181038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005968328,0.00325271,0.6570809,0.002358816,0.0008569185,0.0005279176,0.009571521,0.01597418,0.001072048,0.01390989,0.01640553,0.2783927],"study_design_scores_gemma":[0.0001135193,0.002077799,0.8864533,0.0006726364,0.000441314,0.0001992926,0.02676255,0.02745298,0.001678153,0.00800428,0.04601238,0.0001318135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795442,0.000502483,0.007179622,0.002032834,0.00006552193,0.005147992,0.01211697,0.0001706059,0.09323978],"genre_scores_gemma":[0.9728826,0.0007320843,0.01327974,0.000192946,0.00003536609,0.004923599,0.003687897,0.00002529987,0.004240459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009176118,"threshold_uncertainty_score":0.03170091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009405024264463121,"score_gpt":0.2520816075713857,"score_spread":0.2426765833069226,"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."}}