{"id":"W4302439811","doi":"","title":"Future Earth Transdisciplinary Research","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Earth (classical element); Astrobiology; Computer science; Earth observation; Earth science; Systems engineering; Geology; Engineering; Aerospace engineering; 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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.07416821,0.0004567731,0.0006629993,0.001110201,0.00126719,0.002626259,0.005046333,0.0006614351,0.0009536433],"category_scores_gemma":[0.007268126,0.0003937148,0.0003749772,0.002786565,0.0007704684,0.0005266032,0.005633565,0.002519117,0.001053036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510064,"about_ca_system_score_gemma":0.002421718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001840559,"about_ca_topic_score_gemma":0.007269282,"domain_scores_codex":[0.9622117,0.02851503,0.001229456,0.001860431,0.005239237,0.0009441912],"domain_scores_gemma":[0.9639965,0.004613367,0.0005147182,0.004917315,0.02525236,0.0007056986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005644168,0.002510154,0.001674822,0.0002585269,0.0002288687,0.0001609877,0.1946973,0.0005865726,0.00338512,0.242682,0.3682298,0.1850214],"study_design_scores_gemma":[0.001892226,0.00001060156,0.006825348,0.002133214,0.00005069721,0.00005119283,0.02966186,0.04835353,0.02062812,0.5633276,0.3254442,0.001621418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3579312,0.003591593,0.03788573,0.1427941,0.00157125,0.001750022,0.000429332,0.0003384486,0.4537084],"genre_scores_gemma":[0.8519085,0.0002692719,0.01336099,0.00006401882,0.000476642,0.0002356309,0.0005903261,0.00008190893,0.1330127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4939773,"threshold_uncertainty_score":0.9999596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107181273506093,"score_gpt":0.3993836535149205,"score_spread":0.2922023800088275,"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."}}