{"id":"W4388747031","doi":"","title":"STRUCTURILE DE DEFLECTORI, FACTORI DE ÎMBUNĂTĂŢIRE AI HABITATULUI PISCICOL- STUDIU DE CAZ, RÂUL NICOLET (QUEBEC-CANADA)","year":2010,"lang":"ro","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.0004297532,0.0004818249,0.0003209524,0.001237966,0.001827179,0.001459573,0.0007465257,0.0003535892,0.007524969],"category_scores_gemma":[0.0007769972,0.0002227362,0.0004355434,0.002591634,0.0007215642,0.0003871283,0.0004788972,0.0004072368,0.0007544581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03072792,"about_ca_system_score_gemma":0.02160829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934155,"about_ca_topic_score_gemma":0.9983245,"domain_scores_codex":[0.9995203,0.00003697544,0.00001392384,0.00006649355,0.0002078452,0.0001544464],"domain_scores_gemma":[0.9991807,0.00007402476,0.00007377493,0.0000196655,0.0005340693,0.0001176995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002166769,0.0001356861,0.878666,0.0006004208,0.0001929114,0.001373253,0.003709215,0.005003588,0.005780204,0.002554638,0.02078613,0.08098117],"study_design_scores_gemma":[0.000004887659,0.00004256367,0.9755512,0.0001097215,0.0000548749,0.00009987342,0.004259637,0.001413311,0.0005471427,0.00005616733,0.0178384,0.0000220814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502493,0.005785139,0.00137331,0.001109279,0.00003559691,0.0001757041,0.005106483,0.00006488174,0.0361004],"genre_scores_gemma":[0.9512798,0.002670451,0.001619735,0.0001721873,0.000006848383,0.00006620286,0.002979037,0.00002855385,0.04117713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03072792,"threshold_uncertainty_score":0.2229477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08436852566457465,"score_gpt":0.4830743426745681,"score_spread":0.3987058170099935,"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."}}