{"id":"W4398857160","doi":"10.7910/dvn/tlahpx/oheara","title":"ddAle_Ott_20160731_14364400.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":"Computer science","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":[0.001176417,0.00332478,0.00227123,0.005161684,0.001259842,0.004594664,0.003912924,0.003183491,0.3298359],"category_scores_gemma":[0.008674338,0.001088328,0.001532732,0.007641451,0.0008092078,0.002653574,0.00316535,0.001984702,0.4121628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002269945,"about_ca_system_score_gemma":0.002640893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03587614,"about_ca_topic_score_gemma":0.05123816,"domain_scores_codex":[0.9987943,0.0001935975,0.00009974842,0.0004133419,0.0002349163,0.0002640847],"domain_scores_gemma":[0.9971245,0.0008018246,0.0002652833,0.0007251764,0.0007092541,0.0003738854],"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":[0.00002839332,0.000005007824,0.0001593379,0.0002906075,0.00001217976,0.000005906931,0.000008535339,0.00009142549,0.00003317888,0.0002607166,0.9984303,0.0006742527],"study_design_scores_gemma":[0.0002247593,0.00001666748,0.001415805,0.0003188219,0.00002399429,0.00003152531,0.00005312978,0.0002874583,0.00024108,0.001714469,0.9956366,0.00003559723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000280165,0.00005094345,0.00002572271,0.00006928512,0.00002678347,0.000002886338,0.998799,0.0003989419,0.0005984431],"genre_scores_gemma":[0.0002576294,0.00006348008,0.0001190648,0.00008297299,0.00001752675,0.00003154045,0.9980909,0.0002224296,0.001114434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6701641,"threshold_uncertainty_score":0.9559078,"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."}}