{"id":"W2626768541","doi":"","title":"Future Earth Collaborative Science","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Earth (classical element); Astrobiology; Physics; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.05644714,0.0005171626,0.0006408368,0.001139038,0.001411465,0.004593791,0.008283339,0.0002729301,0.0007221516],"category_scores_gemma":[0.01768962,0.0003946225,0.0002905209,0.003749999,0.001647477,0.0006584947,0.009790626,0.0006888133,0.0009019519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000180608,"about_ca_system_score_gemma":0.001597515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001479444,"about_ca_topic_score_gemma":0.0006478215,"domain_scores_codex":[0.984062,0.006670816,0.001283409,0.003171316,0.003986861,0.0008255967],"domain_scores_gemma":[0.9731107,0.004437177,0.001331682,0.008647285,0.01195733,0.0005157623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002679756,0.0005326237,0.001876195,0.00005129587,0.00007973117,0.00001899891,0.01247516,0.0001042341,0.002439881,0.422887,0.08797167,0.4715364],"study_design_scores_gemma":[0.001029289,0.000001129597,0.01095419,0.001792348,0.00005763589,0.00001290818,0.001900599,0.01633647,0.0309953,0.1231898,0.8123721,0.001358223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07189521,0.001468323,0.4030322,0.06272709,0.00828079,0.001340624,0.0006985431,0.0006678684,0.4498894],"genre_scores_gemma":[0.8095646,0.00029916,0.07030354,0.0003964748,0.0003380708,0.00009150741,0.0002197154,0.00007091613,0.118716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7376693,"threshold_uncertainty_score":0.9998885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451412022996508,"score_gpt":0.3063835458018471,"score_spread":0.271869425571882,"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."}}