{"id":"W4231197133","doi":"10.5194/esurf-9-519-2021","title":"Automated quantification of floating wood pieces in rivers from video monitoring: a new software tool and validation","year":2021,"lang":"en","type":"article","venue":"Earth Surface Dynamics","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Université de Lyon; Agence Nationale de la Recherche","keywords":"Software; Computer science; Process (computing); Videography; Environmental science; Remote sensing; Artificial intelligence; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002787645,0.001005885,0.0008028662,0.00277301,0.0003318407,0.001134234,0.001396096,0.00104413,0.001607593],"category_scores_gemma":[0.005467348,0.000445245,0.0007298795,0.0009791758,0.0005560388,0.001072636,0.001101673,0.0006214902,0.0007637652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004897838,"about_ca_system_score_gemma":0.0006046679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002483962,"about_ca_topic_score_gemma":0.002114835,"domain_scores_codex":[0.9981568,0.0002138661,0.000193119,0.0004754198,0.0008645088,0.00009633624],"domain_scores_gemma":[0.9958401,0.001210799,0.000371653,0.0004648983,0.001961905,0.0001506666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009319191,0.000562977,0.03001656,0.0009117262,0.000448627,0.0006385007,0.0005737852,0.02561006,0.3314511,0.0009826389,0.005108924,0.6027632],"study_design_scores_gemma":[0.0001519773,0.0008983431,0.03518598,0.0001478314,0.0001985705,0.0007503683,0.000153828,0.6970687,0.256218,0.0006093927,0.00845768,0.0001593869],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2180653,0.0004163863,0.7431209,0.000104814,0.000167332,0.0005547734,0.0009263961,0.03540935,0.001234861],"genre_scores_gemma":[0.3817059,0.0002635305,0.6113027,0.0001603172,0.00004477263,0.0008690089,0.002670567,0.001278077,0.001705156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002787645,"threshold_uncertainty_score":0.01474267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148208543270953,"score_gpt":0.2291349086383737,"score_spread":0.2176528232056642,"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."}}