{"id":"W6949803429","doi":"10.5281/zenodo.3867762","title":"Ophyiulus curvipes","year":2017,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Natural (archaeology); Process (computing); Habitat","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":[0.00009596239,0.0004689781,0.0002421765,0.001327474,0.0009678819,0.0002988521,0.0003850462,0.0002196495,0.01512588],"category_scores_gemma":[0.0002297029,0.0001063947,0.0001549661,0.0008781956,0.0003483217,0.0005684727,0.0008169338,0.0002973792,0.004107561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000547538,"about_ca_system_score_gemma":0.0003121536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02432969,"about_ca_topic_score_gemma":0.0330362,"domain_scores_codex":[0.9998726,0.00000837781,0.00001010369,0.0000381122,0.00004137135,0.0000294531],"domain_scores_gemma":[0.9999157,0.00001099573,0.00003267822,0.000005854431,0.00001638481,0.00001841435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008192181,0.0001225727,0.07099973,0.0007618408,0.00007040223,0.002920276,0.0009300255,0.001581365,0.1224117,0.005502368,0.02871088,0.7651696],"study_design_scores_gemma":[0.00007641748,0.0002293731,0.7103696,0.0001628578,0.00004721208,0.00497587,0.0009034013,0.001049785,0.006398608,0.001696209,0.2740493,0.00004135704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.641616,0.009087912,0.006582015,0.0005670256,0.0003403119,0.0003494523,0.02005615,0.001058929,0.3203423],"genre_scores_gemma":[0.9486251,0.001572057,0.004362192,0.0002444958,0.00006919826,0.0001101909,0.01268716,0.00007010254,0.03225935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02432969,"threshold_uncertainty_score":0.05060107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05372519203348435,"score_gpt":0.2610906577937847,"score_spread":0.2073654657603003,"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."}}