{"id":"W2909773799","doi":"10.4095/212177","title":"A Palm-based digital field-data capture system","year":2001,"lang":"en","type":"report","venue":"","topic":"Embedded Systems and FPGA Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Palm; Field (mathematics); Computer science; Environmental science; Mathematics; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.0003192167,0.0004600149,0.0006823071,0.000165339,0.00003700384,0.0002383511,0.0006705396,0.0008117649,0.0002259613],"category_scores_gemma":[0.00007762591,0.0003840029,0.0001616154,0.000182902,0.00001013113,0.0001585018,0.00007638137,0.0005149161,0.000249379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002733091,"about_ca_system_score_gemma":0.0003308457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000614253,"about_ca_topic_score_gemma":0.0001244146,"domain_scores_codex":[0.997831,0.00001693045,0.0005920503,0.0004759341,0.000691662,0.0003924294],"domain_scores_gemma":[0.9977561,0.0001211622,0.00009585801,0.001738468,0.0001396371,0.0001487987],"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":[0.000003204189,0.00001425452,0.0002394917,0.003199606,0.0002082011,0.0005360696,0.00001956232,0.001343874,0.000006152458,0.00004065425,0.988998,0.005390959],"study_design_scores_gemma":[0.0001777133,0.00002320083,0.000009949143,0.0009257094,0.00007046642,0.0003195887,0.0001365286,0.03634525,0.00002468464,0.000002148389,0.9613447,0.0006200376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00002970416,0.002346085,0.06745459,0.00001819741,0.002831107,0.0004025423,0.000525405,0.001449702,0.9249427],"genre_scores_gemma":[0.9189013,0.0003912228,0.0007264249,0.00007392911,0.003676994,0.00009638539,0.003233677,0.0004139477,0.07248608],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9188716,"threshold_uncertainty_score":0.9998612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875264224152595,"score_gpt":0.2544843402152238,"score_spread":0.2057316979736979,"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."}}