{"id":"W7085120333","doi":"10.6084/m9.figshare.30297925","title":"Alternative tech platforms in five countries","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Population; Panel data; Survey sampling; Current Population Survey; Survey data collection; Real world data","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":[0.0006892564,0.0006722567,0.0004670168,0.003812313,0.0005437,0.001796831,0.000756943,0.0009157127,0.01933752],"category_scores_gemma":[0.004079515,0.0002912643,0.0006162634,0.009734587,0.0002405715,0.001292038,0.001542093,0.0008802887,0.01283376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071678,"about_ca_system_score_gemma":0.000759692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03442129,"about_ca_topic_score_gemma":0.03540926,"domain_scores_codex":[0.9991972,0.0001700452,0.00009160145,0.0001747672,0.0001781577,0.0001881694],"domain_scores_gemma":[0.9982426,0.0004319565,0.0004270868,0.0002168997,0.0004830812,0.0001982845],"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":[0.0005593254,0.0001731651,0.0800084,0.001903442,0.0001784019,0.0002362517,0.000430782,0.00313263,0.0003069247,0.005997288,0.8761548,0.03091867],"study_design_scores_gemma":[0.0002035296,0.00009875382,0.1814697,0.0009818965,0.00007991015,0.0002537089,0.001925812,0.002167969,0.0004347519,0.001774222,0.8105378,0.00007195292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01968742,0.0007291763,0.000175635,0.0002305706,0.00004027161,0.0000369533,0.9732038,0.0001219758,0.005774089],"genre_scores_gemma":[0.02979528,0.0004630549,0.0004702965,0.0001312026,0.00001364219,0.0001452147,0.9666651,0.00002821619,0.002287939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03442129,"threshold_uncertainty_score":0.06844187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415657880791999,"score_gpt":0.2529319187953837,"score_spread":0.2387753399874638,"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."}}