{"id":"W6926923950","doi":"10.25549/chs-m5966","title":"Ontario's Hotel Royal, ca.1900","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Tree (set theory); Line (geometry); Shadow (psychology); Key (lock)","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":[0.0002840926,0.002134805,0.001221764,0.002577251,0.001095691,0.002610928,0.001285655,0.0009991903,0.1012961],"category_scores_gemma":[0.001836073,0.0005753735,0.0007068338,0.007920691,0.0003514056,0.0009242526,0.0009714133,0.0009361366,0.1335909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003598278,"about_ca_system_score_gemma":0.005419135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4749563,"about_ca_topic_score_gemma":0.7350587,"domain_scores_codex":[0.9995258,0.00002813404,0.0000430455,0.000168698,0.0001573261,0.00007705122],"domain_scores_gemma":[0.9991111,0.0000884602,0.00009195405,0.0001440557,0.0003710084,0.0001934363],"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":[0.00003200592,0.000005342384,0.0005031967,0.0002808843,0.000009258672,0.00001612194,0.00001079469,0.00009125363,0.00005208289,0.0001533752,0.996581,0.002264581],"study_design_scores_gemma":[0.00004035125,0.000005769357,0.006794607,0.0001623705,0.00001373488,0.00003851966,0.00005015041,0.0001708473,0.0001203584,0.000178116,0.9924113,0.00001384233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001233991,0.0001735401,0.00003530229,0.00004413372,0.00002060927,0.000005112646,0.9965447,0.0002409898,0.002812215],"genre_scores_gemma":[0.0005163271,0.0002299359,0.0001179353,0.00002477947,0.000006829682,0.00001290304,0.9957113,0.00004952243,0.00333042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5250437,"threshold_uncertainty_score":0.9443835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007399445143419677,"score_gpt":0.1602318945254855,"score_spread":0.1528324493820658,"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."}}