{"id":"W3158276880","doi":"","title":"Collaborating on Water in SDGs","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007023513,0.0002435993,0.0003101722,0.0001420573,0.0003694133,0.0004837099,0.001089222,0.0003918495,0.0002556919],"category_scores_gemma":[0.001611142,0.0002153619,0.00009007485,0.0003315173,0.0002705682,0.0001897795,0.0007023385,0.0007274433,0.0001051175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396105,"about_ca_system_score_gemma":0.0006483467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01077096,"about_ca_topic_score_gemma":0.02715944,"domain_scores_codex":[0.9932379,0.004687963,0.000397368,0.000567988,0.0006417226,0.000467096],"domain_scores_gemma":[0.9965298,0.0003536534,0.0002610679,0.001032696,0.001649559,0.0001732275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005821227,0.0007438188,0.01992831,0.0001959674,0.00008349682,0.00003815412,0.5903031,0.001000181,0.002987213,0.3096741,0.03866879,0.03631869],"study_design_scores_gemma":[0.00198732,0.000001655781,0.01039151,0.005681589,0.00005037833,0.000002848084,0.007216819,0.002746155,0.1028053,0.0926498,0.7745709,0.001895702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6024868,0.0002607628,0.0007576017,0.02395556,0.0005743043,0.0005171507,0.00006089398,0.0001628871,0.371224],"genre_scores_gemma":[0.976298,0.0002427649,0.003642276,0.0002503737,0.00009656438,0.00004842922,0.000198735,0.00003198729,0.01919092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7359021,"threshold_uncertainty_score":0.9958164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717564558276968,"score_gpt":0.2575534583947363,"score_spread":0.2403778128119666,"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."}}