{"id":"W4287080542","doi":"","title":"LOOKING FOR REPRODUCIBILITY FOR EARTH OBSERVATION APPLICATIONS AT THE ABSTRACT LEVEL","year":2021,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Reproducibility; Computer science; Earth observation; Earth (classical element); Engineering; Mathematics; Statistics; Aerospace engineering","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1915737,0.001659711,0.002430797,0.005527479,0.003350269,0.0148343,0.004988323,0.00476801,0.01059872],"category_scores_gemma":[0.6932486,0.001565044,0.007132742,0.008943317,0.005852693,0.01223772,0.006729479,0.005727172,0.00427302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002931599,"about_ca_system_score_gemma":0.006389362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007634374,"about_ca_topic_score_gemma":0.003962154,"domain_scores_codex":[0.7483534,0.1391802,0.02571171,0.03264538,0.05011085,0.003998492],"domain_scores_gemma":[0.1145201,0.6230739,0.03362948,0.1550074,0.07172461,0.002044383],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00257328,0.0003825619,0.5357431,0.007376185,0.009657308,0.001173095,0.00660947,0.02315071,0.01579759,0.08992422,0.03050145,0.2771111],"study_design_scores_gemma":[0.000442334,0.001343236,0.3851065,0.002999778,0.004421381,0.001778811,0.005219412,0.09876741,0.04312865,0.3768163,0.07949726,0.0004790074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.167873,0.007733007,0.7400428,0.01975511,0.002666048,0.0008221018,0.009304319,0.008731497,0.04307216],"genre_scores_gemma":[0.8626456,0.0008251285,0.119135,0.00253476,0.001366105,0.0006105867,0.006090511,0.002718179,0.004074262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8084263,"threshold_uncertainty_score":0.9969335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05973800628691259,"score_gpt":0.2913976820659774,"score_spread":0.2316596757790648,"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."}}