{"id":"W2221053130","doi":"10.22230/src.2015v6n3a111","title":"Playing Well With Others: The Social Edition and Computational Collaboration","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College; University of Victoria","funders":"","keywords":"Computer science; World Wide Web; Relation (database); Encoding (memory); Value (mathematics); Data science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009109599,0.0005369659,0.000392215,0.002622108,0.007333903,0.0152438,0.001417575,0.002911443,0.008578897],"category_scores_gemma":[0.02105659,0.000463292,0.0008429567,0.002367281,0.03304311,0.03078353,0.01216175,0.002775785,0.001209553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002989312,"about_ca_system_score_gemma":0.002688346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936355,"about_ca_topic_score_gemma":0.003014224,"domain_scores_codex":[0.988259,0.009038427,0.0003613346,0.0008780221,0.001022724,0.0004405973],"domain_scores_gemma":[0.979498,0.01385371,0.0009400512,0.003905405,0.0008621575,0.0009405838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002116566,0.00001816677,0.0006202224,0.00004926621,0.000009011248,0.0003235627,0.04530521,0.0005229285,0.0001653104,0.9323336,0.003145779,0.0174858],"study_design_scores_gemma":[0.00001767162,0.00001950826,0.0004739842,0.0001920803,0.00001593775,0.0004976041,0.03034258,0.002816807,0.0005621637,0.7430742,0.2219539,0.00003370512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1095457,0.003250674,0.2310702,0.0481282,0.001528531,0.0001137736,0.0001898723,0.0006929436,0.60548],"genre_scores_gemma":[0.9300861,0.001133717,0.03989336,0.001423751,0.0003649335,0.0001047662,0.000161729,0.0003659828,0.02646569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0152438,"threshold_uncertainty_score":0.04817677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047453109849456,"score_gpt":0.378835153910937,"score_spread":0.2740898429259914,"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."}}