{"id":"W4393727722","doi":"10.5281/zenodo.6862838","title":"Simulated tracks for the TrackMate-ExTrack module.","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche","keywords":"Computer science; Computer graphics (images)","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":[0.001422453,0.003994258,0.001998772,0.002761092,0.001058584,0.002448025,0.004580551,0.003259774,0.0464214],"category_scores_gemma":[0.004395551,0.001050306,0.002646042,0.003465312,0.0006014345,0.001646646,0.002283074,0.002659355,0.1264747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889068,"about_ca_system_score_gemma":0.002083346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0230191,"about_ca_topic_score_gemma":0.06623794,"domain_scores_codex":[0.9987091,0.0001988446,0.00009338956,0.0005133704,0.0002873837,0.000197985],"domain_scores_gemma":[0.9983816,0.0003129154,0.0001125608,0.0007579681,0.0002796667,0.0001552136],"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":[0.0001529081,0.00008109038,0.001418496,0.0005828235,0.00007300407,0.0000443239,0.00002241326,0.002038408,0.0002730408,0.0005710486,0.9890611,0.005681316],"study_design_scores_gemma":[0.0008657643,0.000119739,0.00705436,0.000455993,0.0001446433,0.0004045731,0.0001627361,0.01082439,0.003448481,0.006135452,0.9702693,0.0001144683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007173042,0.0001470244,0.0007630998,0.00008459978,0.000111319,0.00004057899,0.9931219,0.003986506,0.00102759],"genre_scores_gemma":[0.0007598336,0.00003812556,0.001184899,0.00004069156,0.000009602645,0.00008249417,0.9969991,0.0001935679,0.0006915798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0464214,"threshold_uncertainty_score":0.1552951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928315297806026,"score_gpt":0.2324006388686501,"score_spread":0.2031174858905898,"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."}}