{"id":"W4398648473","doi":"10.7910/dvn/28075/ypgsjh","title":"changes.txt","year":2015,"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":[0.00177302,0.002813156,0.001805935,0.005085197,0.0009543284,0.005990534,0.003124216,0.001830756,0.2159866],"category_scores_gemma":[0.01263739,0.001177953,0.002346317,0.008918525,0.0006956072,0.003664294,0.003242758,0.002778796,0.2709938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944006,"about_ca_system_score_gemma":0.002381587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0178108,"about_ca_topic_score_gemma":0.02652181,"domain_scores_codex":[0.9977089,0.0003591527,0.000345666,0.0007915444,0.0004869298,0.000307772],"domain_scores_gemma":[0.9957538,0.001118421,0.000366161,0.001470078,0.0008338416,0.0004576225],"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":[0.00007039379,0.00001217393,0.0004575767,0.000368534,0.00003455958,0.00001064629,0.00001692848,0.0001177526,0.00008623791,0.0004714008,0.996926,0.001427808],"study_design_scores_gemma":[0.0001308026,0.00001021736,0.001561476,0.000138842,0.00002326902,0.00002952137,0.0000280768,0.0001453705,0.0002366845,0.0009513261,0.9967257,0.00001871776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005442988,0.00005605387,0.00005504901,0.00006001573,0.00005353582,0.000007213301,0.9976345,0.001151633,0.0009275318],"genre_scores_gemma":[0.0002714885,0.00005776633,0.0001398567,0.00006152537,0.00001355384,0.00002896944,0.9981242,0.0004971505,0.0008055931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7840134,"threshold_uncertainty_score":0.7225472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309818989314519,"score_gpt":0.2544485321019535,"score_spread":0.2234666331705016,"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."}}