{"id":"W1668800065","doi":"10.5281/zenodo.14881014","title":"Mi'kmaq Night Sky Stories; Patterns of Interconnectiveness, Vitality and Nourishment","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vitality; Indigenous; Sociology; History; Ecology","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":[0.002314178,0.0004148107,0.00034405,0.001589208,0.01073037,0.005362103,0.0009936809,0.001016537,0.002721779],"category_scores_gemma":[0.007546992,0.0003871409,0.000184197,0.001447967,0.01407162,0.003992923,0.008014882,0.001859516,0.0001911007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004151188,"about_ca_system_score_gemma":0.001653828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02672281,"about_ca_topic_score_gemma":0.06222473,"domain_scores_codex":[0.9976174,0.001457225,0.00005447205,0.0001309435,0.0003312685,0.0004086251],"domain_scores_gemma":[0.9962479,0.001770387,0.0007644206,0.0002280392,0.0002000751,0.0007890101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002497682,0.000009829743,0.003476602,0.0000422337,0.000005868864,0.0003988546,0.9877215,0.0000125119,0.0004210818,0.003650553,0.0007603408,0.003475647],"study_design_scores_gemma":[0.000003257586,0.00002788702,0.01317101,0.00006892928,0.000007743768,0.0008627716,0.9341648,0.00004272856,0.0003221148,0.001497088,0.04981335,0.00001837237],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622701,0.001391647,0.001035796,0.002234367,0.00004173765,0.00002713425,0.00006805811,0.000035865,0.0328953],"genre_scores_gemma":[0.9955788,0.0003989031,0.0002666467,0.0001229053,0.00001273157,0.00001556021,0.00003041461,0.00002074832,0.003553214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9732772,"threshold_uncertainty_score":0.05313456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529254908319857,"score_gpt":0.2900256399191394,"score_spread":0.2547330908359409,"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."}}