{"id":"W4241336269","doi":"10.1080/08989575.2016.1193318","title":"Introduction","year":2016,"lang":"en","type":"article","venue":"a/b Auto/Biography Studies","topic":"Latin American and Latino Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004119231,0.0001407694,0.0002425534,0.0001688954,0.0009142729,0.00003190133,0.000184421,0.00004243075,0.000136066],"category_scores_gemma":[0.0005216404,0.00008593612,0.0001607017,0.0008668541,0.001425472,0.0002676041,0.00009505376,0.00005103297,0.00009500094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005081297,"about_ca_system_score_gemma":0.00003008044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002568698,"about_ca_topic_score_gemma":0.000317275,"domain_scores_codex":[0.9986688,0.0001472403,0.0001906091,0.0003191358,0.000294269,0.0003799422],"domain_scores_gemma":[0.9991225,0.0002756795,0.0001064904,0.000220794,0.0002093818,0.00006517275],"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":[0.00001326464,0.00007914004,0.04366029,0.0000149086,0.0009459421,0.00000564228,0.03118095,1.935263e-7,0.0005766389,0.2807475,0.3883987,0.2543768],"study_design_scores_gemma":[0.0002338012,0.00006756043,0.02616675,0.00002486291,0.00003864746,6.34428e-7,0.0135959,2.847792e-7,0.0001339239,0.008353299,0.9511435,0.0002408174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05524037,0.02956126,0.002961816,0.5183372,0.008346443,0.001150192,0.00003237831,0.002884954,0.3814854],"genre_scores_gemma":[0.9745018,0.01539123,0.001211868,0.0004286637,0.001642009,0.00005114584,5.099748e-7,0.00001154517,0.006761154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9192615,"threshold_uncertainty_score":0.703194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609891230985479,"score_gpt":0.3195193159648111,"score_spread":0.2934204036549563,"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."}}