{"id":"W2954307406","doi":"","title":"Demining Albania 2000–2009: Successes and Lessons Learned","year":2010,"lang":"en","type":"article","venue":"JMU Scholoraly Commons (James Madison University)","topic":"Global Energy Security and Policy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mine action; Aeronautics; Engineering; Operations research; Computer science; Political science; Law","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":[0.003241611,0.0004068802,0.0003275983,0.001004361,0.00247793,0.002466593,0.0008002182,0.001068842,0.003450701],"category_scores_gemma":[0.005269986,0.0001468498,0.0001853879,0.001743924,0.002449239,0.002103053,0.002626714,0.001867961,0.0004292439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005423812,"about_ca_system_score_gemma":0.004699784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0883624,"about_ca_topic_score_gemma":0.1577806,"domain_scores_codex":[0.9988735,0.0002090351,0.00005596571,0.00008466364,0.0002831524,0.0004935983],"domain_scores_gemma":[0.9986665,0.0003695085,0.0002453861,0.0001048668,0.0003262615,0.0002874307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002017661,0.0003954708,0.07243836,0.001693966,0.00009410855,0.003977468,0.03720051,0.002863567,0.002231393,0.03213251,0.06296859,0.7838022],"study_design_scores_gemma":[0.00003623949,0.0004047432,0.405026,0.002009247,0.00003823786,0.001131468,0.08243372,0.001173621,0.002895615,0.005385239,0.4993969,0.00006899047],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7745032,0.0344801,0.000894646,0.04711179,0.0005517855,0.00009853882,0.0003831515,0.0001080808,0.1418687],"genre_scores_gemma":[0.9755809,0.01040333,0.0006826521,0.001925968,0.0001401346,0.00002633253,0.0002958009,0.00004046569,0.01090434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0883624,"threshold_uncertainty_score":0.1756961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417180401771649,"score_gpt":0.2663009808623539,"score_spread":0.2421291768446374,"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."}}