{"id":"W2803346245","doi":"10.1007/s12571-018-0807-2","title":"On developing a scale to measure chronic household seed insecurity in semi-arid Kenya and the implications for food security policy","year":2018,"lang":"en","type":"article","venue":"Food Security","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"International Development Research Centre","keywords":"Food security; Food insecurity; Agriculture; Scale (ratio); Business; Government (linguistics); Socioeconomics; Economics; Geography","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0006866387,0.0003336649,0.0004356628,0.0003306568,0.0006325254,0.0002032456,0.0004743106,0.0002172997,0.000004800394],"category_scores_gemma":[0.0003384062,0.0002832267,0.0001419932,0.000872452,0.0002818548,0.0002253541,0.0002011609,0.0004300678,0.000008480676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004892905,"about_ca_system_score_gemma":0.000146271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003140057,"about_ca_topic_score_gemma":0.0138132,"domain_scores_codex":[0.9977221,0.0002370827,0.0004736146,0.0006704202,0.0002489868,0.0006477909],"domain_scores_gemma":[0.9985334,0.0003127801,0.0001286584,0.0006092429,0.000206716,0.0002092207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02510118,0.004133706,0.08260456,0.002741729,0.0006390779,0.000003664256,0.1619193,0.00004739627,0.002769893,0.6820157,0.03210248,0.005921304],"study_design_scores_gemma":[0.01663198,0.004203642,0.1518741,0.0006615833,0.00009037618,0.00004414843,0.0002456116,0.0004403245,0.02972424,0.7738921,0.0210367,0.001155221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573067,0.0003537423,0.0003712284,0.03780037,0.0003383291,0.002391459,0.0007447139,0.0001876813,0.0005057641],"genre_scores_gemma":[0.994173,0.00002157983,0.0001252321,0.004179912,0.001050772,0.0003520499,0.00004334582,0.00005093521,0.000003134101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1616737,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103366126042812,"score_gpt":0.288260629561323,"score_spread":0.2572269683008949,"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."}}