{"id":"W4398455310","doi":"10.7910/dvn/28075/imgtzd","title":"changes.txt","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science","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":[0.001610519,0.002688067,0.001779883,0.005462473,0.001040764,0.005812402,0.003048475,0.001736219,0.2447336],"category_scores_gemma":[0.01323817,0.0009895426,0.001846028,0.01108987,0.0006459508,0.004062452,0.003089804,0.002538094,0.3244328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002160254,"about_ca_system_score_gemma":0.002667962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0238415,"about_ca_topic_score_gemma":0.03619407,"domain_scores_codex":[0.9980056,0.0002983634,0.0002774655,0.0006308216,0.0004951184,0.0002926374],"domain_scores_gemma":[0.9954046,0.001021885,0.0004620057,0.001217938,0.001320584,0.0005730481],"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":[0.00003994566,0.000008580166,0.0002821648,0.0002316065,0.00001554884,0.000006963044,0.00001002817,0.00005248776,0.00004214667,0.000275412,0.9978892,0.001145926],"study_design_scores_gemma":[0.00009265978,0.000007344725,0.001226978,0.0001171641,0.00001584203,0.00002196149,0.00002789425,0.00007191255,0.0001307417,0.0006994657,0.9975743,0.0000136825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003624038,0.00006176815,0.00003391834,0.00008316007,0.00006652551,0.00000656624,0.9981381,0.0005797934,0.0009939332],"genre_scores_gemma":[0.0002159176,0.00008133214,0.0001120008,0.0001000884,0.000023576,0.0000372844,0.9978985,0.000299763,0.001231601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7552664,"threshold_uncertainty_score":0.8187154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083108292672759,"score_gpt":0.244888999271709,"score_spread":0.2240579163449814,"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."}}