{"id":"W3203635626","doi":"","title":"Design of sensors for monitoring the environment and ecosystems: from the definition of specifications to production","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Production (economics); Ecosystem; Computer science; Systems engineering; Environmental resource management; Environmental science; Engineering; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.004240895,0.0001492179,0.0002274897,0.000074844,0.0002577792,0.0001093182,0.001036027,0.0001348269,0.000003225654],"category_scores_gemma":[0.0009915762,0.0001158644,0.00007853636,0.0001958309,0.0001270591,0.00007382811,0.0003189521,0.0002055654,0.000002095903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005797861,"about_ca_system_score_gemma":0.00007649542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003272534,"about_ca_topic_score_gemma":0.00008940546,"domain_scores_codex":[0.99597,0.002637989,0.0004528033,0.000512015,0.0002904723,0.0001367062],"domain_scores_gemma":[0.9948417,0.001647516,0.0005257252,0.002152111,0.0007960016,0.0000369643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003147015,0.0008276248,0.00943909,0.0004881712,0.0005036163,0.000001111046,0.07584493,0.005426496,0.7361131,0.1365738,0.0008425647,0.03390802],"study_design_scores_gemma":[0.000205351,0.000001206043,0.007141152,0.001665432,0.00006436565,0.000004649069,0.001245171,0.007246885,0.9769964,0.004319231,0.0009083863,0.0002017819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1918294,0.001098209,0.7949618,0.01035881,0.000358353,0.001132321,0.00002317236,0.00005405561,0.0001838991],"genre_scores_gemma":[0.8477666,0.0003815344,0.1514665,0.000009229791,0.00002424411,0.0002084369,0.00003065471,0.00001071508,0.0001020071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6559373,"threshold_uncertainty_score":0.4724813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07198112186421439,"score_gpt":0.2294136264235175,"score_spread":0.1574325045593031,"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."}}