{"id":"W7008287862","doi":"","title":"Baseline Podcast: Episode 1","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Educational Curriculum and Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baseline (sea); MEDLINE; Term (time); Government (linguistics); Context (archaeology)","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":[0.00409114,0.0006170239,0.001006591,0.001923646,0.003266945,0.006923695,0.001279966,0.002112998,0.2890161],"category_scores_gemma":[0.03587233,0.0004921033,0.0004884423,0.002872078,0.0004399756,0.004174234,0.003592314,0.003652109,0.1252984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003302545,"about_ca_system_score_gemma":0.004132247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322173,"about_ca_topic_score_gemma":0.05770665,"domain_scores_codex":[0.9966668,0.000806497,0.0002062608,0.0004778118,0.001067181,0.0007753621],"domain_scores_gemma":[0.9901479,0.002495382,0.0004149452,0.001976313,0.002602315,0.00236326],"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":[0.000291224,0.00008872511,0.0003832901,0.0001200508,0.000005073286,0.00002514482,0.0001400664,0.0001600628,0.00007363522,0.001568312,0.9868859,0.01025857],"study_design_scores_gemma":[0.0002680683,0.00004902031,0.00224817,0.000112004,0.000007380069,0.00001452965,0.0003568309,0.0003952836,0.0002725355,0.002846371,0.9934063,0.00002360467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01316636,0.0009341005,0.005885051,0.01478951,0.0135345,0.004506058,0.4844334,0.02153442,0.4412166],"genre_scores_gemma":[0.1057486,0.0006536945,0.01299691,0.004961262,0.004372036,0.006617288,0.4950921,0.01030663,0.3592515],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2890161,"threshold_uncertainty_score":0.9668552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128161379931913,"score_gpt":0.266445704303114,"score_spread":0.2551640905037949,"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."}}