{"id":"W7115941313","doi":"10.3886/e240979v5","title":"Household Water Insecurity Experiences Scale Development Data","year":2025,"lang":"en","type":"dataset","venue":"London School of Hygiene & Tropical Medicine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute on Governance","funders":"National Institutes of Health","keywords":"Scale (ratio); Food insecurity; Experiential learning; Survey data collection; Shame; Data collection; Water development; Water use","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008773303,0.001138806,0.002573663,0.001068459,0.0002205538,0.00006071822,0.005793763,0.0007401393,0.004782737],"category_scores_gemma":[0.002328302,0.0007198881,0.0001486606,0.0009068357,0.001404785,0.0004738793,0.003674648,0.001798972,0.0008206618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003753163,"about_ca_system_score_gemma":0.0009238623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049615,"about_ca_topic_score_gemma":0.000756154,"domain_scores_codex":[0.9908413,0.0004242106,0.002564921,0.002114974,0.002798792,0.001255846],"domain_scores_gemma":[0.9920928,0.0003104005,0.0006318187,0.005749394,0.0003475733,0.0008679596],"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":[0.000423688,0.0005084528,0.001163164,0.0006343303,0.000191133,0.0001356551,0.0003381577,0.000001469138,0.0005252539,0.000002930938,0.9956075,0.0004682984],"study_design_scores_gemma":[0.002961658,0.0004605509,0.003611439,0.001719739,0.0004298289,0.00002586181,0.0004639717,0.000004407936,0.005288946,0.00002979182,0.9842653,0.0007385275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0593843,0.002696984,0.00005484353,0.0009286114,0.001952754,0.000951966,0.9336623,0.0002032955,0.0001649245],"genre_scores_gemma":[0.007547005,0.0004526652,0.0009905244,0.0008180174,0.001087059,0.0002480378,0.9884549,0.00007095705,0.0003308101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0547926,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04278531990173773,"score_gpt":0.3085856903827475,"score_spread":0.2658003704810098,"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."}}