{"id":"W4409652946","doi":"10.63485/tnjqr-tpc06","title":"Toronto&amp;#39;s Project Open Source | Open Access","year":2005,"lang":"en","type":"preprint","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open source; Business; Computer science; Operating system; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.004260625,0.001762324,0.001375973,0.003474534,0.007754363,0.01616016,0.002059733,0.004599416,0.2547767],"category_scores_gemma":[0.01073456,0.001491833,0.001027195,0.006808057,0.005169938,0.00592947,0.004598814,0.003327165,0.08060426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02719771,"about_ca_system_score_gemma":0.03410894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6352691,"about_ca_topic_score_gemma":0.6975161,"domain_scores_codex":[0.9936624,0.0004416152,0.0002225344,0.0009926085,0.003612883,0.001067959],"domain_scores_gemma":[0.9789043,0.002918963,0.0006435502,0.003486393,0.006544033,0.007502728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001411476,0.00005032455,0.0007949594,0.0003891983,0.00001926724,0.0002791965,0.0008330086,0.0005672234,0.002586029,0.1189508,0.7957419,0.07964697],"study_design_scores_gemma":[0.00002217176,0.00001904721,0.001274437,0.00004524436,0.000006048861,0.00003743024,0.0001912885,0.0009812871,0.001028714,0.004822805,0.9915423,0.0000291398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006686046,0.00433786,0.05972664,0.03736357,0.00410753,0.0006051061,0.03504174,0.02387458,0.828257],"genre_scores_gemma":[0.03046342,0.002678404,0.02434421,0.000925993,0.0005343091,0.0001779762,0.01717137,0.005561564,0.9181427],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9979402,"threshold_uncertainty_score":0.8523128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6141768032147442,"score_gpt":0.5867068644282148,"score_spread":0.02746993878652937,"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."}}