{"id":"W7001366262","doi":"","title":"International Contracts","year":2018,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Variety (cybernetics); Agency (philosophy); Cover (algebra); Product (mathematics); Commercial law; 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":[0.01236455,0.0007884683,0.0006611623,0.00234618,0.00568176,0.01166746,0.002573581,0.007390638,0.1218095],"category_scores_gemma":[0.03627614,0.0005844961,0.001039436,0.003842936,0.003849546,0.009011103,0.007741455,0.008280697,0.02928403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005232775,"about_ca_system_score_gemma":0.008675752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005950855,"about_ca_topic_score_gemma":0.005337079,"domain_scores_codex":[0.9805545,0.004350984,0.001569689,0.002667129,0.007861645,0.002996051],"domain_scores_gemma":[0.9821698,0.005275356,0.001427466,0.004163399,0.005320853,0.001643098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001523174,0.00001999541,0.0002757949,0.00004319873,0.000005151697,0.0001023734,0.0005043469,0.0001022624,0.0001041617,0.9141728,0.06323968,0.02141503],"study_design_scores_gemma":[0.000007066008,0.00001522455,0.0002970055,0.0001400893,0.00000499829,0.0001924878,0.0002730116,0.0001105375,0.0001206006,0.04444985,0.9543763,0.00001270962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002382701,0.001950282,0.00798158,0.01015896,0.0013956,0.0001587098,0.0005734829,0.0001488318,0.9752499],"genre_scores_gemma":[0.1325662,0.005953688,0.01062315,0.02048797,0.002523922,0.0006912982,0.00243635,0.0004966344,0.8242208],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1218095,"threshold_uncertainty_score":0.4074933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005083616238602752,"score_gpt":0.2689332316787881,"score_spread":0.2638496154401853,"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."}}