{"id":"W7104435309","doi":"10.71781/20066","title":"Cartographier l’envahisseur : télédétection précoce du roseau commun (Phragmites australis) à l’aide des drones et de l’intelligence artificielle","year":2024,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Drone; Serranidae","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005784339,0.0007628145,0.0006250045,0.0001837952,0.008481224,0.000340932,0.0008663672,0.0009989063,0.0004749738],"category_scores_gemma":[0.0002807519,0.0004894608,0.000808907,0.0009866853,0.001413443,0.000542153,0.0003032063,0.001076819,0.0002515093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002954945,"about_ca_system_score_gemma":0.0004557372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08995186,"about_ca_topic_score_gemma":0.09466463,"domain_scores_codex":[0.9962294,0.000542377,0.0006725074,0.001004145,0.0006287078,0.0009228571],"domain_scores_gemma":[0.9976044,0.0007182593,0.0004168884,0.000246343,0.0005276062,0.0004865431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001420642,0.0008761084,0.06307744,0.0004869253,0.0008063739,0.002568499,0.02871115,0.006935295,0.6988173,0.1746866,0.002120968,0.01949275],"study_design_scores_gemma":[0.0005562907,0.001416791,0.5368299,0.001503555,0.001106645,0.002159119,0.1560311,0.003577337,0.1122926,0.01214829,0.1699906,0.002387674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333948,0.0351541,0.0001519715,0.003838357,0.001499714,0.0005372789,0.0001724993,0.0002944635,0.02495681],"genre_scores_gemma":[0.9331827,0.005051467,0.0004648746,0.0003253193,0.000523596,0.00005231277,0.0005510112,0.00001334604,0.05983545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5865246,"threshold_uncertainty_score":0.9997557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665523137064238,"score_gpt":0.1951448929275106,"score_spread":0.1784896615568682,"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."}}