{"id":"W4398994956","doi":"10.7910/dvn/tlahpx/hn4cfh","title":"ddAle_Ott_20160412_08099500.mat","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Art","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001222729,0.002986339,0.002152129,0.005582238,0.001205268,0.004697329,0.003629109,0.002865691,0.3297398],"category_scores_gemma":[0.009435073,0.000999058,0.001471148,0.008599858,0.0007602355,0.002757696,0.003170839,0.001942145,0.3863136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002333461,"about_ca_system_score_gemma":0.002755356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03949735,"about_ca_topic_score_gemma":0.05298323,"domain_scores_codex":[0.9987509,0.0001920897,0.0001133856,0.0004015844,0.0002527455,0.0002892457],"domain_scores_gemma":[0.9967553,0.0008712719,0.0003313789,0.0007826188,0.0008590178,0.00040042],"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":[0.00002547478,0.000004162449,0.0001612685,0.000274693,0.00001110409,0.000005152168,0.000008134723,0.00008015036,0.00002826044,0.0003119964,0.9984422,0.0006474114],"study_design_scores_gemma":[0.0001865435,0.00001265387,0.001437043,0.0003169774,0.00002013352,0.00002421465,0.00004978122,0.0002094165,0.000183635,0.001552849,0.9959756,0.00003137995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002342356,0.00004520068,0.00002059169,0.00006668446,0.00002445492,0.000002496156,0.998881,0.0003131143,0.000623031],"genre_scores_gemma":[0.000254799,0.00006597047,0.0001138648,0.00007987826,0.00001809579,0.00003107286,0.9980311,0.000216703,0.001188573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6702602,"threshold_uncertainty_score":0.9560448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454725491627512,"score_gpt":0.2498379815613699,"score_spread":0.2252907266450948,"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."}}