{"id":"W6955142405","doi":"10.57745/luu95c","title":"SuppFig.S11A.tab","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001606298,0.003920399,0.002508862,0.005741189,0.001440465,0.005408277,0.003490881,0.004428731,0.4164555],"category_scores_gemma":[0.01284024,0.001320808,0.001969538,0.009771305,0.0007745417,0.003076607,0.002776955,0.002461937,0.4058165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002673586,"about_ca_system_score_gemma":0.003278466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03628188,"about_ca_topic_score_gemma":0.05670147,"domain_scores_codex":[0.9985018,0.0003009546,0.0001499949,0.0004811268,0.0002938809,0.000272333],"domain_scores_gemma":[0.9949002,0.002297389,0.0002999811,0.001040173,0.001049382,0.0004129145],"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":[0.00004426572,0.00001431764,0.0002196464,0.0004368626,0.00001704666,0.00001195471,0.00001415756,0.0001013586,0.00005174166,0.0002325165,0.9980195,0.0008367756],"study_design_scores_gemma":[0.0004498956,0.00002997588,0.002267953,0.0004516006,0.00003191902,0.00006442558,0.0001090244,0.0003570248,0.0003524312,0.001477775,0.9943681,0.00003968444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003555506,0.00004144604,0.00002599317,0.00005261035,0.00002185453,0.000005633068,0.9988617,0.0004132698,0.0005420119],"genre_scores_gemma":[0.0002395864,0.00004423943,0.0001687171,0.00006972448,0.00001069162,0.0000472072,0.998445,0.0002156425,0.0007591827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5835445,"threshold_uncertainty_score":0.8323554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5659508495174567,"score_gpt":0.4798732273785494,"score_spread":0.0860776221389073,"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."}}