{"id":"W7155649133","doi":"10.5281/zenodo.19771665","title":"Онтаріо [Ontario]","year":2022,"lang":"uk","type":"book-chapter","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Term (time)","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":[],"consensus_categories":[],"category_scores_codex":[0.001237249,0.0008134003,0.0003341871,0.001906803,0.00374716,0.006595015,0.0009785743,0.002841353,0.08471481],"category_scores_gemma":[0.003299824,0.0005153229,0.0004286003,0.002642368,0.004284901,0.004514835,0.002489123,0.003465735,0.04674885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004958851,"about_ca_system_score_gemma":0.00628546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074804,"about_ca_topic_score_gemma":0.04685783,"domain_scores_codex":[0.9979964,0.00038444,0.0001174784,0.0003586859,0.0008377296,0.000305372],"domain_scores_gemma":[0.998912,0.0002543594,0.00008139161,0.0001620585,0.0004498021,0.0001404361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004004401,0.00001750702,0.0002532285,0.0002439206,0.000005427462,0.0002055769,0.00276398,0.00008787517,0.0003046494,0.5494413,0.3675122,0.07912417],"study_design_scores_gemma":[0.00000142061,0.000002910687,0.0001293662,0.00007332978,0.000001040798,0.00008864902,0.0001463792,0.00001263267,0.00007440099,0.007636388,0.9918295,0.000004090779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001212439,0.01527621,0.00347844,0.008394257,0.00309668,0.00006152519,0.000475421,0.0002383637,0.9677668],"genre_scores_gemma":[0.0299918,0.01296731,0.004307557,0.003764316,0.001176362,0.0001101445,0.0006172435,0.0004661244,0.946599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.979252,"threshold_uncertainty_score":0.2833992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05696853518058688,"score_gpt":0.2104829257622113,"score_spread":0.1535143905816244,"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."}}