{"id":"W6929727411","doi":"10.5064/f6z31wj1/pstv7q","title":"0_README_Johnson.txt","year":2018,"lang":"el","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001344534,0.001699639,0.001081303,0.003105345,0.0006827082,0.003196631,0.002727891,0.001494311,0.2097517],"category_scores_gemma":[0.006158222,0.0008270646,0.00111635,0.004478767,0.0004519155,0.001815898,0.002571615,0.001514538,0.2542022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216771,"about_ca_system_score_gemma":0.001639157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130084,"about_ca_topic_score_gemma":0.02224625,"domain_scores_codex":[0.9991251,0.000157441,0.0000851416,0.0002810256,0.0001926562,0.0001585644],"domain_scores_gemma":[0.9976348,0.0007416372,0.0001926947,0.0006991487,0.0004247695,0.0003069279],"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":[0.00007598446,0.00001670491,0.0004470572,0.0003529709,0.00002367704,0.00001385705,0.00002543673,0.0001630756,0.0001097286,0.000504168,0.9959265,0.002340757],"study_design_scores_gemma":[0.0002427857,0.00002099157,0.002129875,0.0001457802,0.00001876185,0.0000354941,0.00006435758,0.0004120759,0.000536182,0.001735423,0.9946352,0.00002304371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008881799,0.00002453949,0.00008786807,0.00006263344,0.0000143788,0.000008713685,0.9974645,0.001286303,0.0009621693],"genre_scores_gemma":[0.0004164382,0.00004180856,0.0003111314,0.00006013455,0.000008428105,0.00005099971,0.9975915,0.0003060797,0.001213535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7902483,"threshold_uncertainty_score":0.7016895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05144709142198756,"score_gpt":0.3217349744076935,"score_spread":0.2702878829857059,"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."}}