{"id":"W6908016618","doi":"10.25549/hancock-c82-30625","title":"Outtakes from a trip by John Garth, Canada, 1954","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Girl; White (mutation); Pelican; Stadium; Marmot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005937218,0.003583446,0.002056947,0.003785925,0.002230806,0.002734544,0.002690129,0.00194612,0.1277388],"category_scores_gemma":[0.004187343,0.0009163359,0.00117881,0.01007583,0.0005038792,0.001608414,0.001616898,0.00133028,0.2078282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005234497,"about_ca_system_score_gemma":0.007170948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6893846,"about_ca_topic_score_gemma":0.8484387,"domain_scores_codex":[0.9990003,0.00007200168,0.00006823134,0.0002806672,0.0003358109,0.0002429735],"domain_scores_gemma":[0.9972425,0.0002545586,0.0001232041,0.0003988337,0.001715483,0.0002655691],"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":[0.00002844824,0.000005625029,0.0002060524,0.000118972,0.000005810011,0.000006711674,0.000007580508,0.00004275782,0.00002031137,0.0000450033,0.9980099,0.001502761],"study_design_scores_gemma":[0.0000856741,0.00001025251,0.008137077,0.0003516023,0.00002126322,0.00003135459,0.0001459459,0.0002018389,0.0002131494,0.0003240345,0.9904442,0.00003360288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008274647,0.00009470061,0.00002621723,0.00003963886,0.00003338575,0.000008214869,0.9982806,0.0002260701,0.001208418],"genre_scores_gemma":[0.0003125831,0.00009126371,0.0001092204,0.00002303197,0.000009947456,0.00003132368,0.997292,0.00007210705,0.002058567],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3106154,"threshold_uncertainty_score":0.6248894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004692422496817321,"score_gpt":0.139827425634767,"score_spread":0.1351350031379497,"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."}}