{"id":"W4386768927","doi":"10.14778/3611540.3611573","title":"Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration","year":2023,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Data science; Data sharing; Data integration; Big data; Computer science; Emerging markets; Data modeling; Realm; Artificial intelligence; Economics; Data mining; Database; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.04718155,0.0009825259,0.002161597,0.003719287,0.004301942,0.02668073,0.005929708,0.007313356,0.01754086],"category_scores_gemma":[0.09272844,0.001642999,0.002842126,0.00646082,0.009597783,0.07058637,0.02271593,0.01195479,0.002425285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005066422,"about_ca_system_score_gemma":0.007642351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0018672,"about_ca_topic_score_gemma":0.001950093,"domain_scores_codex":[0.9721957,0.01362383,0.001656164,0.002786014,0.008169879,0.001568471],"domain_scores_gemma":[0.9179285,0.04676111,0.004157921,0.02081573,0.006022468,0.004314248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000343081,0.00004070055,0.0003772811,0.00007631571,0.00002455961,0.00008620507,0.0003096174,0.001561169,0.0001620444,0.9669209,0.006225715,0.0241812],"study_design_scores_gemma":[0.00002227602,0.00002622116,0.0001243191,0.0001299307,0.00001359095,0.0001060576,0.0003598593,0.01348865,0.0002892844,0.9274985,0.05790715,0.00003411815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01928892,0.0154571,0.7518568,0.1337261,0.001831677,0.0004011464,0.0009774058,0.001228756,0.07523213],"genre_scores_gemma":[0.3228232,0.01776691,0.6211827,0.01267354,0.004424864,0.001377237,0.002066453,0.001007622,0.0166775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04718155,"threshold_uncertainty_score":0.2495229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.441294239085565,"score_gpt":0.411258332634344,"score_spread":0.03003590645122101,"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."}}