{"id":"W4246537995","doi":"10.17504/protocols.io.74hhqt6","title":"Om-mCherry-hsp90 v1","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"mCherry; Hsp90; Computer science; Biology; Genetics; Heat shock protein; Green fluorescent protein","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":[],"consensus_categories":[],"category_scores_codex":[0.0001453946,0.001084387,0.0007425804,0.001046122,0.000818573,0.0005682849,0.001053975,0.0009172344,0.0197024],"category_scores_gemma":[0.0003038076,0.0006107239,0.0007004474,0.001722475,0.0004556628,0.0004742474,0.0006235645,0.002628202,0.02073168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006952918,"about_ca_system_score_gemma":0.0008497447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927145,"about_ca_topic_score_gemma":0.00457963,"domain_scores_codex":[0.9998358,0.000009858785,0.00000989574,0.00005897641,0.0000399167,0.00004547992],"domain_scores_gemma":[0.9998298,0.00002770525,0.00002857422,0.00003886898,0.00002404855,0.00005090739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005466996,0.0001431515,0.0002922655,0.0004725409,0.00001789022,0.0003046355,0.0001360062,0.0002151833,0.9726881,0.002880308,0.01009388,0.01220927],"study_design_scores_gemma":[0.0002181542,0.0002333905,0.01709303,0.0001678173,0.0001081123,0.001166916,0.0002686,0.001884355,0.7617916,0.002823428,0.2141479,0.00009666273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4242014,0.007299714,0.19265,0.004456928,0.001813966,0.002045253,0.2844358,0.009207739,0.07388912],"genre_scores_gemma":[0.4085933,0.006121314,0.1023723,0.0006949819,0.0002204997,0.001472133,0.3756398,0.004121299,0.1007644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0197024,"threshold_uncertainty_score":0.06591111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030067742554101,"score_gpt":0.3330555051260671,"score_spread":0.3027548277005261,"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."}}