{"id":"W6967745670","doi":"10.5281/zenodo.14502599","title":"Upotreba kanadskog upitnika za merenje okupacionih performansi (COPM)","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Intervention (counseling); Measure (data warehouse); Activities of daily living; Outcome (game theory); Position (finance); Goal setting; Action (physics)","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":[0.001477093,0.0005269098,0.0009580371,0.002733441,0.001653362,0.002654752,0.0006630512,0.0004933291,0.01658608],"category_scores_gemma":[0.002207485,0.000216395,0.0004861321,0.002305406,0.001172797,0.0009960245,0.002830569,0.001681268,0.002551304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001839338,"about_ca_system_score_gemma":0.003578476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111541,"about_ca_topic_score_gemma":0.01957147,"domain_scores_codex":[0.9990202,0.000138924,0.00009892887,0.0001102651,0.0004025398,0.0002291403],"domain_scores_gemma":[0.9991764,0.0001264654,0.0001529773,0.0000526976,0.0003198846,0.0001714422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006698595,0.000703177,0.06141176,0.004331545,0.0001456032,0.001813383,0.01515894,0.0007805872,0.004650578,0.01883165,0.04545317,0.8460498],"study_design_scores_gemma":[0.00009090934,0.0007757456,0.4795962,0.003356241,0.0003712312,0.003678654,0.02140396,0.0006195894,0.003156695,0.007593215,0.479182,0.00017559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5876874,0.04316066,0.0130073,0.008968886,0.00203408,0.0006013738,0.008823271,0.00125172,0.3344653],"genre_scores_gemma":[0.9245913,0.01475007,0.01696783,0.0005318691,0.0003324919,0.0003314197,0.003751606,0.0003423515,0.03840097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9888846,"threshold_uncertainty_score":0.05548602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0556752065990757,"score_gpt":0.2166511143000022,"score_spread":0.1609759077009265,"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."}}